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Hedberg, Charlie Forsberg, and Alexander Pedersen. "Artificial Intelligence : Memory-driven decisions in games." Thesis, Blekinge Tekniska Högskola, Institutionen för teknik och estetik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3640.

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Developing AI (Artificial Intelligence) for games can be a hard and challenging task. It is sometimes desired to create behaviors that follow some sort of logical pattern. In order to do this, information must be gathered and processed. This bachelor thesis presents an algorithm that could assist current AI technologies to collect and memorize environmental data. The thesis also covers practical implementation guidelines, established through research and testing.<br>Att utveckla AI (Artificiell Intelligence) i spel kan vara en hård och utmanande uppgift. Ibland är det önskvärt att skapa beteen
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Bachhav, Pramod. "Explicit memory inclusion for efficient artificial bandwidth extension." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS492.

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La plupart des algorithmes ABE exploitent les informations contextuelles ou la mémoire capturée via l'utilisation de caractéristiques statiques ou dynamiques extraites de trames de parole voisines. L'utilisation de la mémoire entraîne des caractéristiques dimensionnelles plus élevées et une complexité informatique accrue. Lorsque les informations provenant de trames de prévisualisation sont également utilisées, la latence augmente également. Les travaux antérieurs montrent l'avantage pour ABE d'exploiter la mémoire sous la forme d'entités dynamiques avec un modèle de régression standard. Même
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Kanar, Ege. "Photography as artificial memory: Construction of the Photographic Self." Master's thesis, Akademie múzických umění v Praze. Filmová a televizní fakulta AMU. Knihovna, 2008. http://www.nusl.cz/ntk/nusl-78095.

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Moposita, Tatiana. "Artificial Neural Network (ANN) design using Compute-in-Memory." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS682.

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De nos jours, l'ère du " More than Moore" a émergé comme une influence significative face aux limitations anticipées par la loi de Moore. Les systèmes informatiques explorent des technologies alternatives pour maintenir et améliorer les performances. Cette idée émergé pour résoudre les défis des systèmes électroniques inspirés des réseau biologiques, communément appelés Réseau Neurones Artificiels (ANN). L'utilisation des technologies emerging non-volatile memory (eNVM) est étudiée comme des alternatives prometteuses. Ces technologies offrent plusieurs avantages par rapport à la technologie CM
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Day, Jonathan. ""Must I remember?" : artificial memory systems and early modern England." Thesis, University of Liverpool, 2014. http://livrepository.liverpool.ac.uk/2006202/.

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My thesis traces the evolution of artificial memory systems from classical Greece to early modern England to explore memorial traumas and the complex nature of a very particular way of remembering. An artificial memory system is a methodology to improve natural memory. Classical artificial memory systems employ an architectural metaphor, emphasising regularity and striking imagery. Classical memory systems also frequently describe the memory as a blank page. This thesis follows the path of transmission of these ideas and the perennial relationship between memory and forgetting and memory and f
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Ludwig, Lars [Verfasser], and Thomas [Akademischer Betreuer] Lachmann. "Extended Artificial Memory. Toward an integral cognitive theory of memory and technology / Lars Ludwig. Betreuer: Thomas Lachmann." Kaiserslautern : Technische Universität Kaiserslautern, 2013. http://d-nb.info/1045194794/34.

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Ntourntoufis, Panayotis. "Aspects of the theory of weightless artificial neural networks." Thesis, Imperial College London, 1994. http://hdl.handle.net/10044/1/8506.

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Turvey, Simon Paul. "Analysing and enhancing the performance of associative memory architectures." Thesis, University of Hertfordshire, 2003. http://hdl.handle.net/2299/14113.

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This thesis investigates the way in which information about the structure of a set of training data with 'natural' characteristics may be used to positively influence the design of associative memory neural network models of the Hopfield type. This is done with a view to reducing the level of connectivity in models of this type. There are three strands to this work. Firstly, an empirical evaluation of the implementation of existing theory is given. Secondly, a number of existing theories are combined to produce novel network models and training regimes. Thirdly, new strategies for constructing
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Tigreat, Philippe. "Sparsity, redundancy and robustness in artificial neural networks for learning and memory." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0046/document.

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L'objectif de la recherche en Intelligence Artificielle (IA) est de répliquer les capacités cognitives humaines au moyen des ordinateurs modernes. Les résultats de ces dernières années semblent annoncer une révolution technologique qui pourrait changer profondément la société. Nous focalisons notre intérêt sur deux aspects cognitifs fondamentaux, l'apprentissage et la mémoire. Les mémoires associatives offrent la possibilité de stocker des éléments d'information et de les récupérer à partir d'une partie de leur contenu, et imitent ainsi la mémoire cérébrale. L'apprentissage profond permet de p
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Church, Dana L. "Spatial encoding of artificial flowers by bumblebees (Bombus impatiens): The contents of memory." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/29206.

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A novel methodology allowed simultaneous investigation of three elements of bumblebee foraging behaviour: spatial encoding of flower position, landmark use, and scent marking. Bumblebees were presented with a row of artificial flowers in a flight cage, one flower offering reward (S+). Testing involved empty (i.e., unrewarding) flowers. In Experiment 1, flower covers presumed to be scent marked (old covers) were switched with one of the unmarked covers, or replaced with new, scent-mark-free covers. Results confirmed previous research: presence of old covers influenced response type rather than
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Heyder, Jakob. "Hierarchical Temporal Memory Software Agent : In the light of general artificial intelligence criteria." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75868.

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Artificial general intelligence is not well defined, but attempts such as the recent listof “Ingredients for building machines that think and learn like humans” are a startingpoint for building a system considered as such [1]. Numenta is attempting to lead thenew era of machine intelligence with their research to re-engineer principles of theneocortex. It is to be explored how the ingredients are in line with the design princi-ples of their algorithms. Inspired by Deep Minds commentary about an autonomy-ingredient, this project created a combination of Numentas Hierarchical TemporalMemory theo
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Hågbäck, Moa. "Artificially Authentic and Authentically Artificial : Experiencing the body of the past through the affect of the transmedial narrative of the Outlander-story world." Thesis, Linnéuniversitetet, Institutionen för kulturvetenskaper (KV), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-86157.

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Målet och syftet med denna studie är att observera, tolka, och vidareutveckla förståelsen för den samtida turistens interagerande med, och omförhandlande av, det historiska rummet genom individualistisk påverkan från fiktiva narrativ – i detta fallet, Outlanders transmediala berättelsevärld. Genom ett teoretiskt ramverk uppbyggt på materialism, påverkan, tidsresande och proteser har jag analyserat och kartlagt både kulturarvsplatserna samt Outlander-fansens interaktion med dessa genom att ha deltagit själv i två guidade endagarsturer, samt genom en djupgående, om än liten, enkät. I en nutid so
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Brogliato, Marcelo Salhab. "Understanding the critical distance in sparse distributed memory." reponame:Repositório Institucional do FGV, 2012. http://hdl.handle.net/10438/13095.

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Submitted by Marcelo Salhab Brogliato (msbrogli@gmail.com) on 2015-01-05T20:39:25Z No. of bitstreams: 1 !FullThesis-v6 -biblioteca-digital.pdf: 64255589 bytes, checksum: 0ca16d02e6d615b8fc4c6f4f46db2c22 (MD5)<br>Approved for entry into archive by ÁUREA CORRÊA DA FONSECA CORRÊA DA FONSECA (aurea.fonseca@fgv.br) on 2015-01-06T12:52:32Z (GMT) No. of bitstreams: 1 !FullThesis-v6 -biblioteca-digital.pdf: 64255589 bytes, checksum: 0ca16d02e6d615b8fc4c6f4f46db2c22 (MD5)<br>Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2015-01-12T12:15:58Z (GMT) No. of bitstreams: 1 !Ful
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Wecke, Liliane. "Cardiac memory studies in two human models /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-614-X/.

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Bambeck, Timothy J. "A computer controlled data acquisition and control system for a shape-memory alloy artificial muscle." Ohio : Ohio University, 1993. http://www.ohiolink.edu/etd/view.cgi?ohiou1174935244.

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Narayanan, Pavanesh. "Sensor-less Control of Shape Memory Alloy Using Artificial Neural Network and Variable Structure Controller." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1416501021.

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Stone, Erik E. Skubic Marge. "Adaptive temporal difference learning of spatial memory in the water maze task." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/6586.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on January 22, 2010). Thesis advisor: Dr. Marjorie Skubic. Includes bibliographical references.
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Helman, Shaun. "The knowledge and processing underlying the structural mere exposure effect." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314322.

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Tadesse, Yonas Tegegn. "Creating Human-Like Facial Expressions Utilizing Artificial Muscles and Skin." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/30159.

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Mimicking facial structures for a robotic head requires integration of multiple structural and mechanical parameters, design, synthesis and control of muscle actuation, architecture of the linkages between actuation points within skin, and implementation of the deformation matrix with respect to global skull coordinates. In this dissertation, humanoid faces were designed and fabricated to investigate all the parameters mentioned above. A prototype face and neck was developed using servo motors and extensively characterized. In this prototype, a neck mechanism was designed using a four bar mech
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Hirtzlin, Tifenn. "Digital Implementation of Neuromorphic systems using Emerging Memory devices." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST071.

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Depuis les années soixante-dix l'évolution des performances des circuits électroniques repose exclusivement sur l'amélioration des performances des transistors. Ce composant a des propriétés extraordinaires puisque lorsque ses dimensions sont réduites, toutes ses caractéristiques sont améliorées. Mais, dû à certaines limites physiques fondamentales, la diminution des dimensions des transistors n’est plus possible. Néanmoins, de nouveaux nano-composants mémoire innovants qui peuvent être intégré conjointement avec les transistors voient le jour tant au niveau académique qu'industriel, ce qui co
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Ehrich, John Fitzgerald. "The effects of L1 orthography on processing an artificial logographic script." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/35768/1/John_Fitzgerald_Ehrich_Thesis.pdf.

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To date, studies have focused on the acquisition of alphabetic second languages (L2s) in alphabetic first language (L1) users, demonstrating significant transfer effects. The present study examined the process from a reverse perspective, comparing logographic (Mandarin-Chinese) and alphabetic (English) L1 users in the acquisition of an artificial logographic script, in order to determine whether similar language-specific advantageous transfer effects occurred. English monolinguals, English-French bilinguals and Chinese-English bilinguals learned a small set of symbols in an artificial logograp
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Kianzad, Soheil. "A treatise on highly twisted artificial muscle : thermally driven shape memory alloy yarn and coiled nylon actuators." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54782.

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A new perspective in the field of actuators was opened by the demonstration of multiwall carbon nanotube based actuators by Foroughi et al, in 2011. The approach involves applying a high degree of twist to create large torsional actuation in carbon nanotube yarns, and more recently in coiled nylon filaments. In this thesis torsional actuation is further studied in nylon, and extended to shape memory alloys (SMA). Torsional actuation is demonstrated using 25 μm diameter micro strands of shape memory alloy (SMAs) that are twisted together. These form yarns with Young’s modulus of 13.5 GPa in th
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Holmes, Andrew J. "The use of non-volatile a-Si:H memory devices for synaptic weight storage in artificial neural networks." Thesis, University of Edinburgh, 1995. http://hdl.handle.net/1842/14085.

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This thesis describes the development of an ANN chip in which a-Si:H resistors are integrated with CMOS circuitry. This eliminates the need for external refresh or neuron circuitry required by ANN designs based on dynamic storage techniques. The a-Si:H memory technology was developed in collaboration with Dundee University and is in effect a programmable, non-volatile, semiconductor resistor. The device consists of a thin 1000A layer of a-Si:H sandwiched between vanadium and chromium electrodes. During the project a total of three test chips were designed and fabricated. The first chip was use
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Reese, Caitlin S. "The Implicit Artificial Grammar Task: Preliminary Evaluation of its Potential for Detection of Noncredible Effort/Malingering." Ohio University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1406763394.

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Elvir, Miguel. "EPISODIC MEMORY MODEL FOR EMBODIED CONVERSATIONAL AGENTS." Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3000.

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Embodied Conversational Agents (ECA) form part of a range of virtual characters whose intended purpose include engaging in natural conversations with human users. While works in literature are ripe with descriptions of attempts at producing viable ECA architectures, few authors have addressed the role of episodic memory models in conversational agents. This form of memory, which provides a sense of autobiographic record-keeping in humans, has only recently been peripherally integrated into dialog management tools for ECAs. In our work, we propose to take a closer look at the shared characteris
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Lindell, Adam. "Pulse Repetition Interval Time Series Modeling for Radar Waves using Long Short-Term Memory Artificial Recurrent Neural Networks." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-377865.

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This project is a performance study of Long Short-Term Memory artificial neural networks in the context of a specific time series prediction problem consisting of radar pulse trains. The network is tested both in terms of accuracy on a regular time series but also on an incomplete time series where values have been removed in order to test its robustness/resistance to small errors. The results indicate that the network can perform very well when no values are removed and can be trained relatively quickly using the parameters set in this project, although the robustness of the network seems to
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Bhalala, Smita Ashesh 1966. "Modified Newton's method for supervised training of dynamical neural networks for applications in associative memory and nonlinear identification problems." Thesis, The University of Arizona, 1991. http://hdl.handle.net/10150/277969.

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There have been several innovative approaches towards realizing an intelligent architecture that utilizes artificial neural networks for applications in information processing. The development of supervised training rules for updating the adjustable parameters of neural networks has received extensive attention in the recent past. In this study, specific learning algorithms utilizing modified Newton's method for the optimization of the adjustable parameters of a dynamical neural network are developed. Computer simulation results show that the convergence performance of the proposed learning sc
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Longela, Makusudi Simon. "The development of an artificial hand using nickel-titanium as actuators." Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/2229.

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Thesis (MTech (Mechanical Engineering))--Cape Peninsula University of Technology, 2013.<br>This thesis outlines a proposed mechanical design, prototyping and testing of a five fingered artificial hand made of 15 articulated joints actuated by Shape Memory Alloys (SMAs) mimicking muscular functions. SMAs Artificial muscles were incorporated in the forearm and artificial tendons made of nylon wires passing through a hollow palm transmit the pulling force to bend the fingers. Torsion springs set in each joint of the fingers create enough restoring force to straighten the finger when the act
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Francis, Anthony G. Jr. "Context-sensitive asynchronous memory : a general experience-based method for managing information access in cognitive agents." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/9177.

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Bonnet, Djohan. "Synaptic uncertainty for in-memory computing." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST037.

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La forte demande pour les réseaux de neurones artificiels, combinée à leur coût énergétique élevé dû au "memory bottleneck" des architectures de von-Neumann, a intensifié les efforts pour surmonter les contraintes du matériel informatique. Cette thèse explore le domaine interdisciplinaire du calcul neuromorphique, en se concentrant sur des études expérimentales, des algorithmes et la conception de circuit intégrés. Dans la partie expérimentale, les caractéristiques électriques des mémoires vives basées sur la transition métal-oxyde (OxRAMs) et les mémoires à changement de phase (PCMs) sont étu
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Bazzi, Hussein. "Resistive memory co-design in CMOS technologies." Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0567.

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De nombreuses applications (internet des objets, systèmes embarqués automobiles et médicales, intelligence artificielle) ont besoin d’un circuit intégré (ou SoC pour System on Chip) avec des mémoires non volatiles embarquées performantes pour fonctionner de manière optimale. Bien que la mémoire Flash soit largement utilisée aujourd'hui, cette technologie nécessite une tension élevée pour les opérations de programmation et présente des problèmes de fiabilité difficiles à gérer au-delà du nœud technologique 18 nm, augmentant les coûts de conception et de fabrication des circuits. Dans ce context
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Forslund, John, and Jesper Fahlén. "Predicting customer purchase behavior within Telecom : How Artificial Intelligence can be collaborated into marketing efforts." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279575.

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This study aims to investigate the implementation of an AI model that predicts customer purchases, in the telecom industry. The thesis also outlines how such an AI model can assist decision-making in marketing strategies. It is concluded that designing the AI model by following a Recurrent Neural Network (RNN) architecture with a Long Short-Term Memory (LSTM) layer, allow for a successful implementation with satisfactory model performances. Stepwise instructions to construct such model is presented in the methodology section of the study. The RNN-LSTM model further serves as an assisting tool
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Hellman, James. ""As Mind to the Body": Prudence and Artificial Memory in the Illustrations and Commentary of George Sandys' Ovid's Metamorphosis Englished (1632)." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/506.

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This thesis is an analysis of an English verse translation of Ovid's Metamorphoses, published in 1632 by the Englishman George Sandys. This book included a full English commentary and was illustrated by several full-plate engravings. This study examines the edition's elaborate utilization of the rhetorical practices of artificial memory and related concepts of rhetorical invention. It demonstrates that these rhetorical practices were chosen and implemented for their inherent structural appropriateness for the cultivation of prudence, or practical wisdom. It reveals that the lessons in practic
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Endo, Yoichiro. "Countering Murphys law the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26466.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Arkin, Ronald; Committee Member: Balch, Tucker; Committee Member: Dellaert, Frank; Committee Member: Potter, Steve; Committee Member: Ram, Ashwin. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Price, Ryan William. "Hierarchical Temporal Memory Cortical Learning Algorithm for Pattern Recognition on Multi-core Architectures." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/202.

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Strongly inspired by an understanding of mammalian cortical structure and function, the Hierarchical Temporal Memory Cortical Learning Algorithm (HTM CLA) is a promising new approach to problems of recognition and inference in space and time. Only a subset of the theoretical framework of this algorithm has been studied, but it is already clear that there is a need for more information about the performance of HTM CLA with real data and the associated computational costs. For the work presented here, a complete implementation of Numenta's current algorithm was done in C++. In validating the imp
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Salihoglu, Utku. "Toward a brain-like memory with recurrent neural networks." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210221.

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For the last twenty years, several assumptions have been expressed in the fields of information processing, neurophysiology and cognitive sciences. First, neural networks and their dynamical behaviors in terms of attractors is the natural way adopted by the brain to encode information. Any information item to be stored in the neural network should be coded in some way or another in one of the dynamical attractors of the brain, and retrieved by stimulating the network to trap its dynamics in the desired item’s basin of attraction. The second view shared by neural network researchers is to base
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Mustafa, Hassan M., and Ayoub Al-Hamadi. "On Teaching Quality Improvement of a Mathematical Topic Using Artificial Neural Networks Modeling (With a Case Study)." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-80718.

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This paper inspired by simulation by Artificial Neural Networks (ANNs) applied recently for evaluation of phonics methodology to teach children "how to read". A novel approach for teaching a mathematical topic using a computer aided learning (CAL) package applied at educational field (a children classroom). Interesting practical results obtained after field application of suggested CAL package with and without associated teacher's voice. Presented study highly recommends application of a novel teaching trend based on behaviorism and individuals' learning styles. That is to improve quality of c
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Jüngel, Matthias. "The memory-based paradigm for vision-based robot localization." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2012. http://dx.doi.org/10.18452/16593.

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Für mobile autonome Roboter ist ein solides Modell der Umwelt eine wichtige Voraussetzung um die richtigen Entscheidungen zu treffen. Die gängigen existierenden Verfahren zur Weltmodellierung basieren auf dem Bayes-Filter und verarbeiten Informationen mit Hidden Markov Modellen. Dabei wird der geschätzte Zustand der Welt (Belief) iterativ aktualisiert, indem abwechselnd Sensordaten und das Wissen über die ausgeführten Aktionen des Roboters integriert werden; alle Informationen aus der Vergangenheit sind im Belief integriert. Wenn Sensordaten nur einen geringen Informationsgehalt haben, wie zum
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Musunuru, Venkata Krishna Kanth. "Virtuo-ITS: An Interactive Tutoring System to Teach Virtual Memory Concepts of an Operating System." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1495481049986755.

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Neto, Camilo Rodrigues. "Propriedades de recuperação de memória em redes neurais atratoras." Universidade de São Paulo, 1997. http://www.teses.usp.br/teses/disponiveis/76/76131/tde-31102008-173551/.

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Redes neurais atratoras são redes de neurônios artificiais com realimentacão e sem estrutura de conexão pré-definida. Estes tipos de redes apresentam uma rica dinâmica dissipativa e são freqüentemente utilizadas como memórias associativas. Tais dispositivos tem a propriedade de recuperar uma memória previamente armazenada, mesmo quando expostos a informação parcial ou degradada daquela memória. Armazenar uma memória significa criar um atrator para ela na dinâmica da rede e isto e feito especificando-se adequadamente os pesos sinápticos. Nesta tese, nos concentramos basicamente em duas maneiras
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41

Samikwa, Eric. "Flood Prediction System Using IoT and Artificial Neural Networks with Edge Computing." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280299.

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Flood disasters affect millions of people across the world by causing severe loss of life and colossal damage to property. Internet of things (IoT) has been applied in areas such as flood prediction, flood monitoring, flood detection, etc. Although IoT technologies cannot stop the occurrence of flood disasters, they are exceptionally valuable apparatus for conveyance of catastrophe readiness and counteractive action data. Advances have been made in flood prediction using artificial neural networks (ANN). Despite the various advancements in flood prediction systems through the use of ANN, there
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42

Comiran, Mariane. "Toxidez por cobre: reflexos na qualidade de sementes e no desenvolvimento inicial de aveia preta." Universidade Federal de Santa Maria, 2017. http://repositorio.ufsm.br/handle/1/11623.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>in the soill elevated over the years through anthropogenic actions such as the application of manure and cupping fungicides. As a reflection of these increases the establishment and development of plants grown in these environments can be limited and compromised. Considering the particularities of the different species in resisting and completing their cycle on these conditions this work aimed to evaluate Cu interference on the establishment and initial growth of black oats. The treatments were set up in 5x2 bifactoria
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Vaughan, Renata Aparecida da Rocha. "Avaliação das funções executivas em portadores de fibrilação atrial e insuficiência cardíaca." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/5/5142/tde-30012018-105412/.

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Introdução: A Insuficiência Cardíaca (IC) e a Fibrilação Atrial (FA) são patologias frequentes na população idosa e estão associadas a alterações da esfera cognitiva. No entanto, suas consequências sobre as funções executivas, responsáveis pela resolução de problemas, ainda não estão totalmente esclarecidas. Objetivo: investigar as características do funcionamento executivo em pacientes com FA e/ou IC e identificar se tal funcionamento é equiparável ao de um grupo controle. Método: Estudo observacional, de coorte transversal, realizado em hospital de atenção terciária em cardiologia que avalio
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Pacheco, Renato Ferrari. "Módulos neurais para modelagem de falsas memórias." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-12052017-103355/.

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As falsas memórias são um tipo falha de memória, em que o indivíduo pode (a) reconhecer como tendo visto antes um objeto ou evento que não tenha ocorrido ou (b) não reconhecer algo previamente presenciado. Estes são o falso reconhecimento e a rejeição errada. Segundo a teoria do rastro difuso, dois processos distintos agem em paralelo durante a memorização e reconhecimento, um sobre as informações literais (verbatim) e o outro sobre a essência do significado da palavra (gist). Neste trabalho é proposto um sistema modular de redes neurais artificiais que considera estes dois processos, caracter
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Huang, Yiming. "Phoneme Recognition Using Neural Network and Sequence Learning Model." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1236027180.

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Abrishami, Hedayat. "Deep Learning Based Electrocardiogram Delineation." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563525992210273.

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Figuerola, Wilfredo Blanco. "Din?mica da Plasticidade Sin?ptica em neur?nios do hipocampo durante ciclos de sono: um estudo computacional." Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15187.

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Made available in DSpace on 2014-12-17T14:55:05Z (GMT). No. of bitstreams: 1 WilfredoBF_TESE.pdf: 4144764 bytes, checksum: ae0670814eb6793d7e5af7d0973a9f65 (MD5) Previous issue date: 2012-03-26<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>Several research lines show that sleep favors memory consolidation and learning. It has been proposed that the cognitive role of sleep is derived from a global scaling of synaptic weights, able to homeostatically restore the ability to learn new things, erasing memories overnight. This phenomenon is typical of slow-wave sleep (SWS) and
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Elwér, Åsa. "Learning by Liking- a Mere Exposure Version of the AGL Paradigm." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2075.

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<p>The artificial grammar learning (AGL) paradigm has been intensively researched since the 60-s. In general, these investigations attempt to study the implicit acquisition of structural regularities. Among other things, it has been suggested that the AGL paradigm can serve as a model for the process of acquiring a natural language. Thus it can serve as a well-controlled laboratory task that might be used to understand certain aspects of the process of language acquisition. For example the AGL paradigm has been used in an attempt to isolate the acquisition of syntactic aspects of language. Sev
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Lawrie, Sofía. "Information representation and processing in neuronal networks: from biological to artificial systems and from first to second-order statistics." Doctoral thesis, Universitat Pompeu Fabra, 2022. http://hdl.handle.net/10803/673989.

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Neuronal networks are today hypothesized to the basis for the computing capabilities of biological nervous systems. In the same manner, artificial neuronal systems are intensively exploited for a diversity of industrial and scientific applications. However, how information is represented and processed by these networks remains under debate, meaning that it is not clear which sets of neuronal activity features are useful for computation. In this thesis, I present a set of results that link the first-order statistics of neuronal activity with behavior, in the general context of encoding/decoding
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Freire, Ananda Lima. "A DimensÃo temporal no projeto de classificadores de padrÃes para navegaÃÃo de robÃs mÃveis: um estudo de caso." Universidade Federal do CearÃ, 2009. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16223.

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CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior<br>Este trabalho investiga o grau de influÃncia que a inclusÃo de mecanismos de memÃria de curta duraÃÃo (MCD) exercem sobre o desempenho de classificadores neurais quando aplicados em tarefas de navegaÃÃo de robÃs. Em particular, trata da navegaÃÃo do tipo Wall Following. Para este fim, quatro conhecidas arquiteturas neurais (Perceptron LogÃstico, Perceptron Multicamadas, Mistura de Especialistas e rede de Elman) sÃo usadas com o intuito de associar diferentes padrÃes de leituras sensoriais com quatro classes de aÃÃes prÃ-determinadas
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