Log in

Relevant bibliographies by topics / Neural network learning / Dissertations / Theses

To see the other types of publications on this topic, follow the link: Neural network learning.

Dissertations / Theses on the topic 'Neural network learning'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 dissertations / theses for your research on the topic 'Neural network learning.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

1

Xu, Shuxiang, University of Western Sydney, and of Informatics Science and Technology Faculty. "Neuron-adaptive neural network models and applications." THESIS_FIST_XXX_Xu_S.xml, 1999. http://handle.uws.edu.au:8081/1959.7/275.

Full text

Abstract:

Artificial Neural Networks have been widely probed by worldwide researchers to cope with the problems such as function approximation and data simulation. This thesis deals with Feed-forward Neural Networks (FNN's) with a new neuron activation function called Neuron-adaptive Activation Function (NAF), and Feed-forward Higher Order Neural Networks (HONN's) with this new neuron activation function. We have designed a new neural network model, the Neuron-Adaptive Neural Network (NANN), and mathematically proved that one NANN can approximate any piecewise continuous function to any desired accuracy

APA, Harvard, Vancouver, ISO, and other styles

2

Rimer, Michael Edwin. "Improving Neural Network Classification Training." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2094.pdf.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Kan, Wing Kay. "A probabilistic neural network for associative learning." Thesis, Imperial College London, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283809.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

O'Hara, Tobias Anthony Marett. "Learning classifier systems with neural network representation." Thesis, University of the West of England, Bristol, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436911.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Keisala, Simon. "Designing an Artificial Neural Network for state evaluation in Arimaa : Using a Convolutional Neural Network." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143188.

Full text

Abstract:

Agents being able to play board games such as Tic Tac Toe, Chess, Go and Arimaa has been, and still is, a major difficulty in Artificial Intelligence. For the mentioned board games, there is a certain amount of legal moves a player can do in a specific board state. Tic Tac Toe have in average around 4-5 legal moves, with a total amount of 255168 possible games. Both Chess, Go and Arimaa have an increased amount of possible legal moves to do, and an almost infinite amount of possible games, making it impossible to have complete knowledge of the outcome. This thesis work have created various Neu

APA, Harvard, Vancouver, ISO, and other styles

6

Suárez-Varela, Macià José Rafael. "Enabling knowledge-defined networks : deep reinforcement learning, graph neural networks and network analytics." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669212.

Full text

Abstract:

Significant breakthroughs in the last decade in the Machine Learning (ML) field have ushered in a new era of Artificial Intelligence (AI). Particularly, recent advances in Deep Learning (DL) have enabled to develop a new breed of modeling and optimization tools with a plethora of applications in different fields like natural language processing, or computer vision. In this context, the Knowledge-Defined Networking (KDN) paradigm highlights the lack of adoption of AI techniques in computer networks and – as a result – proposes a novel architecture that relies on Software-Defined Networking (

APA, Harvard, Vancouver, ISO, and other styles

7

Sarpangala, Kishan. "Semantic Segmentation Using Deep Learning Neural Architectures." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin157106185092304.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Kabore, Raogo. "Hybrid deep neural network anomaly detection system for SCADA networks." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2020. http://www.theses.fr/2020IMTA0190.

Full text

Abstract:

Les systèmes SCADA sont de plus en plus ciblés par les cyberattaques en raison de nombreuses vulnérabilités dans le matériel, les logiciels, les protocoles et la pile de communication. Ces systèmes utilisent aujourd'hui du matériel, des logiciels, des systèmes d'exploitation et des protocoles standard. De plus, les systèmes SCADA qui étaient auparavant isolés sont désormais interconnectés aux réseaux d'entreprise et à Internet, élargissant ainsi la surface d'attaque. Dans cette thèse, nous utilisons une approche deep learning pour proposer un réseau de neurones profonds hybride efficace pour l

APA, Harvard, Vancouver, ISO, and other styles

9

Mosher, Stephen Glenn. "Neural Network Applications in Seismology." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42329.

Full text

Abstract:

Neural networks are extremely versatile tools, as evidenced by their widespread adoption into many ﬁelds in the sciences and beyond, including the geosciences. In seismology neural networks have been primarily used to automatically detect and discriminate seismic signals within time-series data, as well as provide location estimates for their sources. However, as neural network research has signiﬁcantly progressed over the past three decades, so too have its applications in seismology. Such applications now include earthquake early warning systems based on smartphone data collected from large

APA, Harvard, Vancouver, ISO, and other styles

10

Batbayar, Batsukh, and S3099885@student rmit edu au. "Improving Time Efficiency of Feedforward Neural Network Learning." RMIT University. Electrical and Computer Engineering, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20090303.114706.

Full text

Abstract:

Feedforward neural networks have been widely studied and used in many applications in science and engineering. The training of this type of networks is mainly undertaken using the well-known backpropagation based learning algorithms. One major problem with this type of algorithms is the slow training convergence speed, which hinders their applications. In order to improve the training convergence speed of this type of algorithms, many researchers have developed different improvements and enhancements. However, the slow convergence problem has not been fully addressed. This thesis makes seve

APA, Harvard, Vancouver, ISO, and other styles

11

Sirois, Sylvain. "A neural network perspective on learning and development /." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36836.

Full text

Abstract:

This manuscript-based thesis explores the relationship between learning and development. The first manuscript reviews the important empirical regularities identified in human discrimination shift learning, including a qualitative age-related change in performance observed in childhood. Leading theoretical accounts of the empirical data are discussed, suggesting that none provides a comprehensive interpretation. The manuscript presents the novel, spontaneous overtraining interpretation. It hypothesizes that age-related changes in human shift learning stem from differences in amount of processin

APA, Harvard, Vancouver, ISO, and other styles

12

Ahmad, Jamil. "A novel learning algorithm for feedforward neural network." Thesis, King's College London (University of London), 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404310.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Redkar, Shrutika. "Deep Learning Binary Neural Network on an FPGA." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/407.

Full text

Abstract:

In recent years, deep neural networks have attracted lots of attentions in the field of computer vision and artificial intelligence. Convolutional neural network exploits spatial correlations in an input image by performing convolution operations in local receptive fields. When compared with fully connected neural networks, convolutional neural networks have fewer weights and are faster to train. Many research works have been conducted to further reduce computational complexity and memory requirements of convolutional neural networks, to make it applicable to low-power embedded applications. T

APA, Harvard, Vancouver, ISO, and other styles

14

Pagliarini, Silvia. "Modeling the neural network responsible for song learning." Thesis, Bordeaux, 2021. http://www.theses.fr/2021BORD0107.

Full text

Abstract:

Pendant la première période de leur vie, les bébés et les jeunes oiseaux présentent des phases de développement vocal comparables : ils écoutent d'abord leurs parents/tuteurs afin de construire une représentation neurale du stimulus auditif perçu, puis ils commencent à produire des sons qui se rapprochent progressivement du chant de leur tuteur. Cette phase d'apprentissage est appelée la phase sensorimotrice et se caractérise par la présence de babillage. Elle se termine lorsque le chant se cristallise, c'est-à-dire lorsqu'il devient semblable à celui produit par les adultes.Il y a des similit

APA, Harvard, Vancouver, ISO, and other styles

15

Tiezzi, Matteo. "Local Propagation in Neural Network Learning by Architectural Constraints." Doctoral thesis, Università di Siena, 2021. http://hdl.handle.net/11365/1133797.

Full text

Abstract:

A crucial role for the success of the Artificial Neural Networks (ANN) processing scheme has been played by the feed-forward propagation of signals. The input patterns undergo a series of stacked parametrized transformations, which foster deep feature extraction and an increasing representational power. Each artificial neural network layer aggregates information from its incoming connections, projects it to another space, and immediately propagates it to the next layer. Since its introduction in the '80s, BackPropagation (BP) is considered to be the ``de facto'' algorithm for training n

APA, Harvard, Vancouver, ISO, and other styles

16

Moncur, Tyler. "Optimal Learning Rates for Neural Networks." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8662.

Full text

Abstract:

Neural networks have long been known as universal function approximators and have more recently been shown to be powerful and versatile in practice. But it can be extremely challenging to find the right set of parameters and hyperparameters. Model training is both expensive and difficult due to the large number of parameters and sensitivity to hyperparameters such as learning rate and architecture. Hyperparameter searches are notorious for requiring tremendous amounts of processing power and human resources. This thesis provides an analytic approach to estimating the optimal value of one of t

APA, Harvard, Vancouver, ISO, and other styles

17

Davies, Sergio. "Learning in spiking neural networks." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/learning-in-spiking-neural-networks(2d2be0d7-9557-481e-b9f1-3889a5ca2447).html.

Full text

Abstract:

Artificial neural network simulators are a research field which attracts the interest of researchers from various fields, from biology to computer science. The final objectives are the understanding of the mechanisms underlying the human brain, how to reproduce them in an artificial environment, and how drugs interact with them. Multiple neural models have been proposed, each with their peculiarities, from the very complex and biologically realistic Hodgkin-Huxley neuron model to the very simple 'leaky integrate-and-fire' neuron. However, despite numerous attempts to understand the learning be

APA, Harvard, Vancouver, ISO, and other styles

18

Choo, Kiam. "Learning hyperparameters for neural network models using Hamiltonian dynamics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0008/MQ53385.pdf.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Hirotsu, Kenichi. "Neural network hardware with random weight change learning algorithm." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/15765.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Georgieva, Antoniya. "Stochastic methods and genetic algorithms for neural network learning." Thesis, University of Portsmouth, 2008. https://researchportal.port.ac.uk/portal/en/theses/stochastic-methods-and-genetic-algorithms-for-neural-network-learning(67dae83c-ec3d-4db2-875c-6e7407a4144f).html.

Full text

Abstract:

This thesis presents results from the developemnt, investigation, testing and evaluation of novel meta-heuristic techniques aiming to further improve the <i>state-of-the-art </i>of algorithms for local minima free Neural Network supervised learning. Several approaches for solving Global Optimisation problems that make use of novel meta-heuristic techniques, so called Low-discrepancy Sequences, and hybrid Evolutionary Algorithms are proposed here, investigated and critically discussed. Furthermore, the novel methods are tested on a number of multimodal mathematical function optimisation problem

APA, Harvard, Vancouver, ISO, and other styles

21

Huang, Yiming. "Phoneme Recognition Using Neural Network and Sequence Learning Model." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1236027180.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Li, Qing. "Medical image analysis with neural network and deep learning." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/14940.

Full text

Abstract:

Thanks to the advance of biomedical imaging systems, large volumes of biomedical image data are generated rapidly. However many doctors still rely on time consuming manual inspection of the patients’ medical images to make diagnostic decisions. There is growing interest from medical and biology researchers to develop automated tools and algorithms that can efficiently extract and utilize useful information from large scale biomedical image databases. Artificial Neural Networks (ANN) have proved very successful in various machine learning and artificial intelligence areas. Recent advances in n

APA, Harvard, Vancouver, ISO, and other styles

23

Wang, Yonglong. "Active learning based on a hybrid neural network modeller." Thesis, Abertay University, 1998. https://rke.abertay.ac.uk/en/studentTheses/965dcca0-c5a5-478f-93b4-b03f88ec8149.

Full text

Abstract:

Various methods are investigated for selecting training data for the purpose of training neural networks. A new method called MIQR (Maximum Inter-Quartile Range) is proposed for effectively selecting a concise set of training data. In addition, the ensemble concept is introduced in this new method. Data selection is not unduly influenced by “outliers”, rather, it is principally dependent upon the “mainstream ” output of the ensemble networks. Encompassed in the new method is a very simple ancient Chinese philosophical idea, i.e. “the minority obeys the majority”. These techniques are nonparame

APA, Harvard, Vancouver, ISO, and other styles

24

Lopes, André Teixeira. "Facial expression recognition using deep learning - convolutional neural network." Universidade Federal do Espírito Santo, 2016. http://repositorio.ufes.br/handle/10/4301.

Full text

Abstract:

Made available in DSpace on 2016-08-29T15:33:24Z (GMT). No. of bitstreams: 1 tese_9629_dissertacao(1)20160411-102533.pdf: 9277551 bytes, checksum: c18df10308db5314d25f9eb1543445b3 (MD5) Previous issue date: 2016-03-03<br>CAPES<br>O reconhecimento de expressões faciais tem sido uma área de pesquisa ativa nos últimos dez anos, com uma área de aplicação em crescimento como animação de personagens e neuro-marketing. O reconhecimento de uma expressão facial não é um problema fácil para métodos de aprendizagem de máquina, dado que pessoas diferentes podem variar na forma com que mostram suas exp

APA, Harvard, Vancouver, ISO, and other styles

25

Wang, Xutao. "Chinese Text Classification Based On Deep Learning." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-35322.

Full text

Abstract:

Text classification has always been a concern in area of natural language processing, especially nowadays the data are getting massive due to the development of internet. Recurrent neural network (RNN) is one of the most popular method for natural language processing due to its recurrent architecture which give it ability to process serialized information. In the meanwhile, Convolutional neural network (CNN) has shown its ability to extract features from visual imagery. This paper combine the advantages of RNN and CNN and proposed a model called BLSTM-C for Chinese text classification. BLSTM-C

APA, Harvard, Vancouver, ISO, and other styles

26

Chen, Tairui. "Going Deeper with Convolutional Neural Network for Intelligent Transportation." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-theses/144.

Full text

Abstract:

Over last several decades, computer vision researchers have been devoted to find good feature to solve different tasks, object recognition, object detection, object segmentation, activity recognition and so forth. Ideal features transform raw pixel intensity values to a representation in which these computer vision problems are easier to solve. Recently, deep feature from covolutional neural network(CNN) have attracted many researchers to solve many problems in computer vision. In the supervised setting, these hierarchies are trained to solve specific problems by minimizing an objective functi

APA, Harvard, Vancouver, ISO, and other styles

27

Teng, Peiyuan. "Tensor network and neural network methods in physical systems." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524836522115804.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Maestri, Rita. "Metodiche di deep learning e applicazioni all’imaging medico: la radiomica." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15452/.

Full text

Abstract:

Questa tesi ha lo scopo di presentare il deep learning e una delle sue applicazioni che ha avuto molto successo nell'analisi delle immagini: la rete neurale convoluzionale. In particolare, si espongono i vantaggi, gli svantaggi e i risultati ottenuti nell'applicazione delle reti convoluzionali alla radiomica, una nuova disciplina che prevede l'estrazione di un elevato numero di feature dalle immagini mediche per elaborare modelli di supporto a diagnosi e prognosi. Nel primo capitolo si introducono concetti di machine learning utili per comprendere gli algoritmi di apprendimento usati anche ne

APA, Harvard, Vancouver, ISO, and other styles

29

Bylund, Andreas, Anton Erikssen, and Drazen Mazalica. "Hyperparameters impact in a convolutional neural network." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18670.

Full text

Abstract:

Machine learning and image recognition is a big and growing subject in today's society. Therefore the aim of this thesis is to compare convolutional neural networks with different hyperparameter settings and see how the hyperparameters affect the networks test accuracy in identifying images of traffic signs. The reason why traffic signs are chosen as objects to evaluate hyperparameters is due to the author's previous experience in the domain. The object itself that is used for image recognition does not matter. Any dataset with images can be used to see the hyperparameters affect. Grid search

APA, Harvard, Vancouver, ISO, and other styles

30

Tran, Khanh-Hung. "Semi-supervised dictionary learning and Semi-supervised deep neural network." Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASP014.

Full text

Abstract:

Depuis les années 2010, l’apprentissage automatique (ML) est l’un des sujets qui retient beaucoup l'attention des chercheurs scientifiques. De nombreux modèles de ML ont démontré leur capacité produire d’excellent résultats dans des divers domaines comme Vision par ordinateur, Traitement automatique des langues, Robotique… Toutefois, la plupart de ces modèles emploient l’apprentissage supervisé, qui requiert d’un massive annotation. Par conséquent, l’objectif de cette thèse est d’étudier et de proposer des approches semi-supervisées qui ont plusieurs avantages par rapport à l’apprentissage sup

APA, Harvard, Vancouver, ISO, and other styles

31

De, Pasquale Daniele. "Modelli di neural network ispirati alla biofisica." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

Find full text

Abstract:

Il machine learning è stata una delle discipline più rivoluzionarie dello scorso secolo: ha permesso di affrontare problemi al di là della portata dei normali algoritmi computazionali, ed ha dato nuove prospettive per lo studio dell’intelligenza in natura. Grazie all’avvento dei big data e dei moderni calcolatori, il deep learning in particolare ha dal 2006 ricevuto una grande attenzione e riportato risultati straordinari in applicazioni cognitive e commerciali. Lo scopo di questa tesi è quello di riportare i principali risultati storici in queste discipline, partendo da una veloce anali

APA, Harvard, Vancouver, ISO, and other styles

32

Liu, Jin. "Fully parallel learning neural network chip for real-time control." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/22214.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Raju, Gokaraju Kanaka Prasad. "Automatic learning from process data using neural network based methodologies." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9965.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Aucoin, Bryan. "A model for goal oriented learning in a neural network." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/43285.

Full text

Abstract:

<p>A mathematical model for goal oriented learning in a network of neuron-like elements was developed. Using a mouse/goal box analogy, a simulation of a network with four elements was programmed in Turbo Pascal, Version 4.0 (Borland International) to test the model. Each location in the network corresponded to a particular network input. The output of the network consisted of one of four behaviors: forward, backward, left or right. The network successfully learned sequences of up to six movements in increasingly complex mazes.</p><br>Master of Science

APA, Harvard, Vancouver, ISO, and other styles

35

Khan, Yousuf, and Edier Otalvaro. "Human-Robot Interaction Using Reinforcement Learning and Convolutional Neural Network." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-50918.

Full text

Abstract:

Proper interaction is a crucial aspect of team collaborations for successfully achieving a common goal. In recent times, more technically advanced robots have been introduced into the industrial environments sharing the same workspace as other robots and humans which causes the need for human-robot interaction (HRI) to be greater than ever before. The purpose of this study is to enable a HRI by teaching a robot to classify different human facial expressions as either positive or negative using a convolutional neural network and respond to each of them with the help of the reinforcement learnin

APA, Harvard, Vancouver, ISO, and other styles

36

Bubie, Walter C. "Algorithm animation and its application to artificial neural network learning /." Online version of thesis, 1991. http://hdl.handle.net/1850/11055.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Hesamifard, Ehsan. "Privacy Preserving Machine Learning as a Service." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703277/.

Full text

Abstract:

Machine learning algorithms based on neural networks have achieved remarkable results and are being extensively used in different domains. However, the machine learning algorithms requires access to raw data which is often privacy sensitive. To address this issue, we develop new techniques to provide solutions for running deep neural networks over encrypted data. In this paper, we develop new techniques to adopt deep neural networks within the practical limitation of current homomorphic encryption schemes. We focus on training and classification of the well-known neural networks and convolutio

APA, Harvard, Vancouver, ISO, and other styles

38

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Зайяд, Абдаллах Мухаммед. "Ecrypted Network Classification With Deep Learning." Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/34069.

Full text

Abstract:

Дисертація складається з 84 сторінок, 59 Цифри та 29 джерел у довідковому списку. Проблема: Оскільки світ стає більш безпечним, для забезпечення належної передачі даних між сторонами, що спілкуються, було використано більше протоколів шифрування. Класифікація мережі стала більше клопоту з використанням деяких прийомів, оскільки перевірка зашифрованого трафіку в деяких країнах може бути незаконною. Це заважає інженерам мережі мати можливість класифікувати трафік, щоб відрізняти зашифрований від незашифрованого трафіку. Мета роботи: Ця стаття спрямована на проблему, спричинену попередні

APA, Harvard, Vancouver, ISO, and other styles

40

Feinleib, Richard Eric 1964. "Adaptive optical learning network with a photorefractive crystal." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276867.

Full text

Abstract:

An optical computer which performs the classification of an input object pattern into one of two learned classes is designed and demonstrated. The classifier is an optical implementation of a neural network model of computation featuring learning, self-organization, and decision-making competition. Neural computation is discussed including models for learning networks and motivation for optical implementation. A discussion of photorefractive crystal holographic storage and adaptation is presented followed by experimental results of writing and erasing gratings in several different crystals. Th

APA, Harvard, Vancouver, ISO, and other styles

41

Belharbi, Soufiane. "Neural networks regularization through representation learning." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR10/document.

Full text

Abstract:

Les modèles de réseaux de neurones et en particulier les modèles profonds sont aujourd'hui l'un des modèles à l'état de l'art en apprentissage automatique et ses applications. Les réseaux de neurones profonds récents possèdent de nombreuses couches cachées ce qui augmente significativement le nombre total de paramètres. L'apprentissage de ce genre de modèles nécessite donc un grand nombre d'exemples étiquetés, qui ne sont pas toujours disponibles en pratique. Le sur-apprentissage est un des problèmes fondamentaux des réseaux de neurones, qui se produit lorsque le modèle apprend par coeur les d

APA, Harvard, Vancouver, ISO, and other styles

42

Corsi, Giacomo. "Fast Neural Network Technique for Industrial OCR." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15258/.

Full text

Abstract:

The content of my thesis describes the work done during my internship at Datalogic in Pasadena. This project improves the performance of the Optical Character Recognition (OCR) solution with use of Deep Learning (DL) techniques. It enhances the character detection process that had been previously developed and relies on template matching done on the Histogram of Gradients (HOG) features. This approach had been already validated with good performance, but detects only those characters which do not vary in the dataset. First, this document gives a introduction to OCR and DL topics, then describ

APA, Harvard, Vancouver, ISO, and other styles

43

Åkesson, Mattias. "Learning Phantom Dose Distribution using Regression Artificial Neural Networks." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-380767.

Full text

Abstract:

Before a radiation treatment on a cancer patient can get accomplished the treatment planning system (TPS) needs to undergo a quality assurance (QA). The QA consists of a pre-treatment (PT-QA) on a synthetic phantom body. During the PT-QA, data is collected from the phantom detectors, a set of monitors (transmission detectors) and the angular state of the machine. The outcome of this thesis project is to investigate if it is possible to predict the radiation dose distribution on the phantom body based on the data from the transmission detectors and the angular state of the machine. The motive f

APA, Harvard, Vancouver, ISO, and other styles

44

Wu, Chunyang. "Structured deep neural networks for speech recognition." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/276084.

Full text

Abstract:

Deep neural networks (DNNs) and deep learning approaches yield state-of-the-art performance in a range of machine learning tasks, including automatic speech recognition. The multi-layer transformations and activation functions in DNNs, or related network variations, allow complex and difficult data to be well modelled. However, the highly distributed representations associated with these models make it hard to interpret the parameters. The whole neural network is commonly treated a ``black box''. The behaviours of activation functions and the meanings of network parameters are rarely controlle

APA, Harvard, Vancouver, ISO, and other styles

45

Li, Ding-Bang, and 李定邦. "Random search in neural network learning." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/58707150339419243904.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Chiu, Yi-Feng, and 邱一峰. "STUDY ON SELF-CONSTRUCTING FUZZY NEURAL NETWORK CONTROLLER USING RECURRENT NEURAL NETWORK LEARNING STRATEGY." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/38808034711756082416.

Full text

Abstract:

碩士<br>大同大學<br>電機工程學系(所)<br>101<br>In this thesis, the self-constructing fuzzy neural network controller (SCFNN) using recurrent neural network (RNN) learning strategy is proposed. For back-propagation (BP) algorithm of the SCFNN controller, the exact calculation of the Jacobian of the system cannot be determined. In this thesis, the RNN learning strategy is proposed to replace the error term of SCFNN controller. After the training of the RNN learning strategy, that will receive the relation between controlling signal and result of the nonlinear of the plant completely. Moreover, the structure

APA, Harvard, Vancouver, ISO, and other styles

47

Xiao, Yuan-Long, and 蕭淵隆. "Secure Two-Party Learning of Neural Network." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/89899744220663188821.

Full text

Abstract:

碩士<br>國立中正大學<br>資訊工程所<br>94<br>Today, there are lots of confidential information needing to be protected. However, some of them are required to share for collaboration. For example, query of database in bank account system, sequences comparison for genetic sequence, and classification for diagnosis analysis, etc. In order to achieve confidentiality and collaboration, secure computation had been proposed from years ago. In our thesis, we try to achieve classification of confidential data which are horizontal partition. Our model for classification is perceptron network, and we propose several m

APA, Harvard, Vancouver, ISO, and other styles

48

XIAO, RU-SHENG, and 蕭儒聖. "Hearing replacement neural network with learning intelligibility." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/91256860106345719167.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Wang, Chung-Hao, and 王仲豪. "STUDY ON SELF-CONSTRUCTING FUZZY NEURAL NETWORK CONTROLLER USING RECURRENT WAVELET NEURAL NETWORK LEARNING STRATEGY." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/66373384738532600320.

Full text

Abstract:

碩士<br>大同大學<br>電機工程學系(所)<br>102<br>In this thesis, the self-constructing fuzzy neural network controller (SCFNN) using recurrent wavelet neural network (RWNN) learning strategy is proposed. SCFNN has been proven over the years to simulate the relationship between input and output of the nonlinear dynamic system. Nevertheless, there are still has the drawback of training retard in this control method. The RWNN approach with a widely similar range of nature since the formation of wavelet transform through the dilation and translation of mother wavelet, it has capability to resolve time domain and

APA, Harvard, Vancouver, ISO, and other styles

50

(8100614), Haoyu Shi. "OBJECT DETECTION IN DEEP LEARNING." Thesis, 2019.

Find full text

Abstract:

<p>Through the computing advance and GPU (Graphics Processing Unit) availability for math calculation, the deep learning field becomes more popular and prevalent. Object detection with deep learning, which is the part of image processing, plays an important role in automatic vehicle drive and computer vision. Object detection includes object localization and object classification. Object localization involves that the computer looks through the image and gives the correct coordinates to localize the object. Object classification is that the computer classification targets into different catego

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!