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Thèses sur le sujet « 360 neural networks »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Sendjasni, Abderrezzaq. "Objective and subjective quality assessment of 360-degree images." Electronic Thesis or Diss., Poitiers, 2023. http://www.theses.fr/2023POIT2251.

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Les images à 360 degrés, aussi appelées images omnidirectionnelles, sont au cœur des contenus immersifs. Avec l’augmentation de leur utilisation notamment grâce à l’expérience interactive et immersive qu’ils offrent, il est primordial de garantir une bonne qualité d’expérience (QoE). Cette dernière est considérablement impactée par la qualité du contenu lui-même. En l’occurrence, les images à 360 degrés, comme tout type de signal visuel, passent par une séquence de processus comprenant l’encodage, la transmission, le décodage et le rendu. Chacun de ces processus est susceptible d’introduire de

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Guimard, Quentin. "Deep learning pour le streaming adaptatif de vidéos à 360° en réalité virtuelle." Electronic Thesis or Diss., Université Côte d'Azur, 2023. http://www.theses.fr/2023COAZ4120.

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La réalité virtuelle (VR) a évolué de manière significative ces dernières années. Les casques immersifs devenant de plus en plus abordables et populaires, de nombreuses applications sont à l'horizon, des vidéos à 360° aux formations interactives en passant par les environnements virtuels collaboratifs. Cependant, pour atteindre des niveaux élevés de qualité perçue, la bande passante du réseau et les ressources de calcul nécessaires peuvent être supérieures de plusieurs ordres de grandeur à celles requises pour un contenu 2D traditionnel.Pour pallier ce problème, des stratégies de streaming qui

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Kovvuri, Prem. "Investigation of Different Video Compression Schemes Using Neural Networks." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/320.

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Image/Video compression has great significance in the communication of motion pictures and still images. The need for compression has resulted in the development of various techniques including transform coding, vector quantization and neural networks. this thesis neural network based methods are investigated to achieve good compression ratios while maintaining the image quality. Parts of this investigation include motion detection, and weight retraining. An adaptive technique is employed to improve the video frame quality for a given compression ratio by frequently updating the weigh

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Zhu, Huaiyu. "Neural networks and adaptive computers : theory and methods of stochastic adaptive computation." Thesis, University of Liverpool, 1993. http://eprints.aston.ac.uk/365/.

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This thesis studies the theory of stochastic adaptive computation based on neural networks. A mathematical theory of computation is developed in the framework of information geometry, which generalises Turing machine (TM) computation in three aspects - It can be continuous, stochastic and adaptive - and retains the TM computation as a subclass called "data processing". The concepts of Boltzmann distribution, Gibbs sampler and simulated annealing are formally defined and their interrelationships are studied. The concept of "trainable information processor" (TIP) - parameterised stochastic mappi

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MacLeod, Christopher. "The synthesis of artificial neural networks using single string evolutionary techniques." Thesis, Robert Gordon University, 1999. http://hdl.handle.net/10059/367.

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The research presented in this thesis is concerned with optimising the structure of Artificial Neural Networks. These techniques are based on computer modelling of biological evolution or foetal development. They are known as Evolutionary, Genetic or Embryological methods. Specifically, Embryological techniques are used to grow Artificial Neural Network topologies. The Embryological Algorithm is an alternative to the popular Genetic Algorithm, which is widely used to achieve similar results. The algorithm grows in the sense that the network structure is added to incrementally and thus changes

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Han, Changan. "Neural Network Based Off-line Handwritten Text Recognition System." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/363.

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This dissertation introduces a new system for handwritten text recognition based on an improved neural network design. Most of the existing neural networks treat mean square error function as the standard error function. The system as proposed in this dissertation utilizes the mean quartic error function, where the third and fourth derivatives are non-zero. Consequently, many improvements on the training methods were achieved. The training results are carefully assessed before and after the update. To evaluate the performance of a training system, there are three essential factors to be consid

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Zhang, Yiming. "Applications of artificial neural networks (ANNs) in several different materials research fields." Thesis, Queen Mary, University of London, 2010. http://qmro.qmul.ac.uk/xmlui/handle/123456789/362.

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In materials science, the traditional methodological framework is the identification of the composition-processing-structure-property causal pathways that link hierarchical structure to properties. However, all the properties of materials can be derived ultimately from structure and bonding, and so the properties of a material are interrelated to varying degrees. The work presented in this thesis, employed artificial neural networks (ANNs) to explore the correlations of different material properties with several examples in different fields. Those including 1) to verify and quantify known corr

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Goudarzi, Alireza. "On the Effect of Heterogeneity on the Dynamics and Performance of Dynamical Networks." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/369.

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The high cost of processor fabrication plants and approaching physical limits have started a new wave research in alternative computing paradigms. As an alternative to the top-down manufactured silicon-based computers, research in computing using natural and physical system directly has recently gained a great deal of interest. A branch of this research promotes the idea that any physical system with sufficiently complex dynamics is able to perform computation. The power of networks in representing complex interactions between many parts make them a suitable choice for modeling physical system

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Umbach, Simon Lineu [Verfasser], Jörg [Gutachter] Breitung, and Robinson [Gutachter] Kruse-Becher. "Macroeconomic Forecasting and Evaluation with Supervised and Neural Network Reinforced Factor Models / Simon Lineu Umbach ; Gutachter: Jörg Breitung, Robinson Kruse-Becher." Köln : Universitäts- und Stadtbibliothek Köln, 2021. http://d-nb.info/1236341244/34.

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Smith, Nancy T. "Evolving Credible Facial Expressions with Interactive GAs." NSUWorks, 2012. http://nsuworks.nova.edu/gscis_etd/310.

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A major focus of research in computer graphics is the modeling and animation of realistic human faces. Modeling and animation of facial expressions is a very difficult task, requiring extensive manual manipulation by computer artists. Our primary hypothesis was that the use of machine learning techniques could reduce the manual labor by providing some automation to the process. The goal of this dissertation was to determine the effectiveness of using an interactive genetic algorithm (IGA) to generate realistic variations in facial expressions. An IGA's effectiveness is measured by satisfaction

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Miranda, Trujillo Luis Carlos. "Artificial Neural Networks in Greenhouse Modelling." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19354.

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Moderne Präzisionsgartenbaulicheproduktion schließt hoch technifizierte Gewächshäuser, deren Einsatz in großem Maße von der Qualität der Sensorik- und Regelungstechnik abhängt, mit ein. Zu den Regelungsstrategien gehören unter anderem Methoden der Künstlichen Intelligenz, wie z.B. Künstliche Neuronale Netze (KNN, aus dem Englischen). Die vorliegende Arbeit befasst sich mit der Eignung KNN-basierter Modelle als Bauelemente von Klimaregelungstrategien in Gewächshäusern. Es werden zwei Modelle vorgestellt: Ein Modell zur kurzzeitigen Voraussage des Gewächshausklimas (Lufttemperatur und relative

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Mettenheim, Hans-Jörg von [Verfasser]. "Advanced neural networks : finance, forecast, and other applications / Hans-Jörg Henri von Mettenheim." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover, 2010. http://d-nb.info/1001045254/34.

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Yilmaz, Enes. "Neural Networks With Piecewise Constant Argument And Impact Activation." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613307/index.pdf.

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This dissertation addresses the new models in mathematical neuroscience: artificial neural networks, which have many similarities with the structure of human brain and the functions of cells by electronic circuits. The networks have been investigated due to their extensive applications in classification of patterns, associative memories, image processing, artificial intelligence, signal processing and optimization problems. These applications depend crucially on the dynamical behaviors of the networks. In this thesis the dynamics are presented by differential equations with discontinuit

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Mullier, D. J. "The application of neural network and fuzzy logic techniques to educational hypermedia." Thesis, Leeds Beckett University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301039.

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Cechin, Rafaela Boeira. "Análise de previsão de preços de ações de uma carteira otimizada, utilizando análise envoltória de dados, redes neurais artificiais e modelo de box-jenkins." reponame:Repositório Institucional da UCS, 2018. https://repositorio.ucs.br/handle/11338/3660.

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McIntyre-Bahatty, Yasen Timothy. "Neural network modelling, evaluation and end-user orientation in the financial markets." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389130.

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Edler, Lars [Verfasser]. "Analysing Economic Data with Self-Organizing Maps : A Geometric Neural Network Approach / Lars Edler." Kiel : Universitätsbibliothek Kiel, 2008. http://d-nb.info/1019667230/34.

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Dias, Rômulo Alves. "UM MODELO DE ATUALIZAÇÃO AUTOMÁTICA DO MECANISMO DE DETECÇÃO DE ATAQUES DE REDE PARA SISTEMAS DE DETECÇÃO DE INTRUSÃO." Universidade Federal do Maranhão, 2003. http://tedebc.ufma.br:8080/jspui/handle/tede/365.

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Made available in DSpace on 2016-08-17T14:52:54Z (GMT). No. of bitstreams: 1 Romulo Alves Dias.PDF: 2725851 bytes, checksum: eaa8311ad62c875b230e288dfc66efa3 (MD5) Previous issue date: 2003-11-21<br>The obsolescence of the IDS's attack identification mechanisms critically compromises the security level of the networks. This research work presents a proposal of a automatic updating model of the network attack detection mechanism for intrusion detection systems based on a society of intelligent agents. The Security Central Agency, a component of the model, distributes a mini-society of attac

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Lagazio, Monica. "An early warning information system for militarised interstate conflicts : combining the interactive liberal peace proposition with neural network modelling." Thesis, University of Nottingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366598.

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SANTOS, Glenda de Lourdes Ferreira dos. "RESPOSTAS AUTOMÁTICAS PARA MELHORIA DA SEGURANÇA EM SISTEMAS DE DETECÇÃO DE INTRUSOS." Universidade Federal do Maranhão, 2003. http://tedebc.ufma.br:8080/jspui/handle/tede/366.

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Made available in DSpace on 2016-08-17T14:52:54Z (GMT). No. of bitstreams: 1 Glenda de Lourdes Ferreira dos Santos.pdf: 972743 bytes, checksum: 111a2522d029325d266db2465a430638 (MD5) Previous issue date: 2003-11-21<br>The development of approaches for proving fast reactions against intruders and attackers have been one of the most important requirements in the critical defense of computer networks, since the intrusion occur quickly, demanding reactions without human intervention. These approaches should be able to, autonomously, respond to attacks and deal with several important aspects of

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Brzoska, Jan [Verfasser], Doris [Gutachter] Fischer, and Björn [Gutachter] Alpermann. "Market forecasting in China: An Artificial Neural Network approach to optimize the accuracy of sales forecasts in the Chinese automotive market / Jan Brzoska ; Gutachter: Doris Fischer, Björn Alpermann." Würzburg : Universität Würzburg, 2020. http://d-nb.info/1209881292/34.

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Valente, Wander Antunes Gaspar. "Reconhecimento de padrões em sistemas de energia elétrica através de uma abordagem geométrica aprimorada para a construção de redes neurais artificiais." Universidade Federal de Juiz de Fora, 2015. https://repositorio.ufjf.br/jspui/handle/ufjf/366.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-01-08T10:36:58Z No. of bitstreams: 1 wanderantunesgasparvalente.pdf: 4197156 bytes, checksum: 5b667869c3bb237e570559ddf4cbb30d (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2016-01-25T16:56:26Z (GMT) No. of bitstreams: 1 wanderantunesgasparvalente.pdf: 4197156 bytes, checksum: 5b667869c3bb237e570559ddf4cbb30d (MD5)<br>Made available in DSpace on 2016-01-25T16:56:26Z (GMT). No. of bitstreams: 1 wanderantunesgasparvalente.pdf: 4197156 bytes, checksum: 5b667869c3bb237e570559ddf4cbb30d (M

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Hagio, Shota. "Muscle synergy for coordinating redundant motor system." Kyoto University, 2016. http://hdl.handle.net/2433/215620.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(人間・環境学)<br>甲第19794号<br>人博第765号<br>新制||人||184(附属図書館)<br>27||人博||765(吉田南総合図書館)<br>32830<br>京都大学大学院人間・環境学研究科共生人間学専攻<br>(主査)教授神﨑素樹, 教授森谷敏夫, 教授石原昭彦<br>学位規則第4条第1項該当

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Ozturk, Erhan. "Cost Estimation Of Trackworks Of Light Rail And Metro Projects." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610332/index.pdf.

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The main objective of this work is to develop models using multivariable regression and artificial neural network approaches for cost estimation of the construction costs of trackworks of light rail transit and metro projects at the early stages of the construction process in Turkey. These two approaches were applied to a data set of 16 projects by using seventeen parameters available at the early design phase. According to the results of each method, regression analysis estimated the cost of testing samples with an error of 2.32%. On the other hand, artificial neural network estimated the co

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Almosova, Anna. "Essays on monetary macroeconomics." Doctoral thesis, Humboldt-Universität zu Berlin, 2019. http://dx.doi.org/10.18452/19978.

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Diese Dissertation beschäftigt sich mit drei relevanten Aufgabebereichen einer Zentralbank und untersucht die makroökonomische Prognose, die Analyse der Geldpolitik in einem makroökonomischen Modell und die Analyse des Währungssystems. Jedes dieser Phänomene wird mit Hilfe des passenden Modells nach Nichtlinearitäten untersucht. Der erste Teil der Dissertation zeigt, dass nichtlineare rekurrente neuronale Netze, eine Methode aus dem Bereich Maschinelles Lernen, die Standard-Methoden übertreffen können und präzise Vorhersagen der Inflation in 1 bis 12 Monaten liefern können. Der zweiter Teil an

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Demirekler, Pinar. "Optimization Of Microwave-halogen Lamp Baking Of Bread." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605074/index.pdf.

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The main objective of this study was to optimize the processing conditions of breads baked in halogen lamp-microwave combination oven by using response surface methodology. It was also aimed to construct neural network models for the prediction of quality parameters of bread as a function of processing conditions. Different baking time and power combinations were used in order to find the optimum baking conditions of bread in halogen lamp-microwave combination oven. The independent variables were the baking time (4, 4.5, 5, 5.5, and 6 min), power of upper and lower halogen lamps (40, 50, 60, 7

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Hain, Horst-Udo. "Phonetische Transkription für ein multilinguales Sprachsynthesesystem." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-81777.

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Die vorliegende Arbeit beschäftigt sich mit einem datengetriebenen Verfahren zur Graphem-Phonem-Konvertierung für ein Sprachsynthesesystem. Die Aufgabe besteht darin, die Aussprache für beliebige Wörter zu bestimmen, auch für solche Wörter, die nicht im Lexikon des Systems enthalten sind. Die Architektur an sich ist sprachenunabhängig, von der Sprache abhängig sind lediglich die Wissensquellen, die zur Laufzeit des Systems geladen werden. Die Erstellung von Wissensquellen für weitere Sprachen soll weitgehend automatisch und ohne Einsatz von Expertenwissen möglich sein. Expertenwissen kann verw

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Schmidt, Sebastian. "Entwicklung und Validierung eines Verfahrens zur Zustandsüberwachung des Reaktordruckbehälters während auslegungsüberschreitender Unfälle in Druckwasserreaktoren." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-235206.

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Für den zielgerichteten Einsatz von präventiven und mitigativen Notfallmaßnahmen sowie zur Beurteilung ihrer Wirksamkeit während auslegungsüberschreitender Unfälle in Druckwasserreaktoren aber auch für Hinweise zum Störfallverlauf und für die Abschätzung der Auswirkungen auf die Anlagenumgebung müssen geeignete Störfallinstrumentierungen vorhanden sein. Insbesondere der Zustand des Reaktordruckbehälterinventars (RDB-Inventar) während der In-Vessel-Phase eines auslegungsüberschreitenden Unfalls lässt sich mit aktuellen Störfallinstrumentierungen nur stark eingeschränkt überwachen, wodurch die o

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Möst, Dominik, and Peter Schegner. "Energiewende Sachsen – Aktuelle Herausforderungen und Lösungsansätze: Beiträge der Abschlusskonferenz des ENERSAX-Projektes." Technische Universität Dresden, 2014. https://tud.qucosa.de/id/qucosa%3A28425.

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Die Bundesregierung plant im Rahmen der Energiewende den Anteil von erneuerbaren Energien an der Stromerzeugung in Deutschland von heute rund 25% auf 80% bis zum Jahr 2050 auszubauen. Damit stehen auch dem Stromsektor in Sachsen grundlegende Veränderungen bevor. Derzeit leistet im Freistaat Sachsen die Braunkohle den größten Beitrag zur Elektrizitätsbereitstellung. Mit dem zunehmenden Ausbau an erneuerbaren Energien steigt der Anteil dargebotsabhängiger Energieträger. Daraus resultieren technische und wirtschaftliche Herausforderungen für das bestehende Energiesystem, wie z.B. die künftige Ber

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Jaume, Bennasar Andrés. "Las nuevas tecnologías en la administración de justicia. La validez y eficacia del documento electrónico en sede procesal." Doctoral thesis, Universitat de les Illes Balears, 2009. http://hdl.handle.net/10803/9415.

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La tesis se encarga de analizar, por un lado, la integración y el desarrollo de las nuevas tecnologías en la Administración de Justicia; y, por otro, los parámetros que constituyen la validez y eficacia del documento electrónico. <br/>La primera cuestión se centra en la configuración de los Sistemas de Información de la Oficina Judicial y del Ministerio Fiscal, así como de la informatización de los Registros Civiles, donde el art. 230 LOPJ es la pieza clave. Se estudian sus programas, aplicaciones, la videoconferencia, los ficheros judiciales y las redes de telecomunicaciones que poseen la cob

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Terrett, Andrew J. "Neural networks for legal quantum prediction." Thesis, 1994. http://hdl.handle.net/2429/3460.

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This thesis argues that Artificial Neural Networks (ANN's) have applications within the domain of law and can be built using readily available Artificial Intelligence software for the Personal Computer. In order to demonstrate this, I have built working ANN's using data made available to me by the Faculty of Law Artificial Intelligence Research Project (FLAIR) and Windows™-based ANN software that is commercially available. The reasons for building a system are three-fold. First, a working system is the most graphic demonstration of my above assertion. Secondly, given my background as a p

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Taraboulsi, Choucri-Gabriel. "Neural network application to vehicle system dynamics." Thesis, 1995. http://spectrum.library.concordia.ca/3760/1/MM05139.pdf.

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Huang, Yu-Ting, and 黃郁婷. "Pedestrian Tracking Based on Two-flow Convolutional Neural Network for Equirectangular Projection of 360-degree Videos." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/epxn4j.

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碩士<br>國立中央大學<br>通訊工程學系<br>107<br>Non-uniform geometric distortions of the equirectangular projection (ERP) of 360-degree videos decreases tracking accuracy of most existing trackers. In addition, the high frame rate and spatial resolution of 360-degree videos cause high computational complexity. Hence, this thesis proposes a two-flow convolutional neural network that measures similarity of two inputs for pedestrian tracking on 360-degree videos. High-speed tracking is achieved since on-line re-training and update of the neural network model is not applied. Both the hierarchically spatial and c

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LI, ZHENG-YU, and 李正宇. "Design and implementation of the parallel neural network simulation system on windows 3.0." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/25140911903353458181.

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Grothmann, Ralph [Verfasser]. "Multi-agent market modeling based on neural networks / by Ralph Grothmann." 2002. http://d-nb.info/975235338/34.

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Andoh, Charles [Verfasser]. "Risk analysis of financial time series using neural networks / by Charles Andoh." 2005. http://d-nb.info/974193461/34.

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Tadjuidje, Kamgaing Joseph [Verfasser]. "Competing neural networks as models for non stationary financial time series : changepoint analysis / Tadjuidje Kamgaing, Joseph." 2005. http://d-nb.info/974108014/34.

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Schulze, Michaela [Verfasser]. "Parameter identification for underdetermined systems arising in option pricing models and neural networks / vorgelegt von Michaela Schulze." 2004. http://d-nb.info/971747539/34.

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Dietz, Sebastian [Verfasser]. "Autoregressive neural network processes : univariate, multivariate and cointegrated models with application to the German automobile industry / von Sebastian Dietz." 2010. http://d-nb.info/1012842274/34.

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Stenberg, Νικόλαος. "Χρήση νευρωνικών δικτύων για την εκτίμηση της τάσης διάσπασης σε μονωτικά διάκενα αέρα". Thesis, 2010. http://nemertes.lis.upatras.gr/jspui/handle/10889/3996.

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Τα νευρωνικά δίκτυα αποτελούν έναν σχετικά νέο επιστημονικό χώρο, καθώς η ανάπτυξή τους έχει λάβει χώρα κυρίως τις τελευταίες δεκαετίες. Τόσο τα επιτεύγματα που έχουν σημειωθεί με τη χρήση τους, όσο και η ολοένα αυξανόμενη ενασχόληση της επιστημονικής κοινότητας με αυτά, δικαιολογούν γιατί είναι ένας τομέας που παρουσιάζει ιδιαίτερο ενδιαφέρον. Ο όρος «Τεχνητό Νευρωνικό Δίκτυο» (ΤΝΔ) ή απλά Νευρωνικό Δίκτυο αναφέρεται σε ένα μαθηματικό μοντέλο που συνίσταται από απλά στοιχεία τα οποία λειτουργούν διατεταγμένα παράλληλα και καλούνται νευρώνες. Η σύλληψη αυτών των στοιχείων έχει εμπνευστεί από τ

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Brzoska, Jan. "Market forecasting in China: An Artificial Neural Network approach to optimize the accuracy of sales forecasts in the Chinese automotive market." Doctoral thesis, 2020. https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-203155.

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Sales forecasts are an essential determinant of operational planning in entrepreneurial organizations. However, in China, as in other emerging markets, monthly sales forecasts are particularly challenging for multinational automotive enterprises and suppliers. A chief reason for this is that conventional approaches to sales forecasting often fail to capture the underlying market dynamics. To that end, this dissertation investigates the application of Artificial Neural Networks with an implemented backpropagation algorithm as a more “unconventional” sales forecasting method. A key element of st

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Chen, Tsai-Wen. "A Systems Level Analysis of Neuronal Network Function in the Olfactory Bulb: Coding, Connectivity, and Modular organization." Doctoral thesis, 2008. http://hdl.handle.net/11858/00-1735-0000-000D-F166-0.

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"Energiewende Sachsen – Aktuelle Herausforderungen und Lösungsansätze." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-175763.

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Die Bundesregierung plant im Rahmen der Energiewende den Anteil von erneuerbaren Energien an der Stromerzeugung in Deutschland von heute rund 25% auf 80% bis zum Jahr 2050 auszubauen. Damit stehen auch dem Stromsektor in Sachsen grundlegende Veränderungen bevor. Derzeit leistet im Freistaat Sachsen die Braunkohle den größten Beitrag zur Elektrizitätsbereitstellung. Mit dem zunehmenden Ausbau an erneuerbaren Energien steigt der Anteil dargebotsabhängiger Energieträger. Daraus resultieren technische und wirtschaftliche Herausforderungen für das bestehende Energiesystem, wie z.B. die künftige Ber

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