Rozprawy doktorskie na temat „Neural network”
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Xu, Shuxiang, University of Western Sydney i 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.
Pełny tekst źródłaDoctor of Philosophy (PhD)
Ellerbrock, Thomas M. "Multilayer neural networks learnability, network generation, and network simplification /". [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=958467897.
Pełny tekst źródłaPatterson, Raymond A. "Hybrid Neural networks and network design". Connect to resource, 1995. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262707683.
Pełny tekst źródłaKhliobas. "NEURAL NETWORK". Thesis, Київ 2018, 2018. http://er.nau.edu.ua/handle/NAU/33752.
Pełny tekst źródłaRastogi, Preeti. "Assessing Wireless Network Dependability Using Neural Networks". Ohio University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1129134364.
Pełny tekst źródłaChambers, Mark Andrew. "Queuing network construction using artificial neural networks /". The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193665234291.
Pełny tekst źródłaDunn, Nathan A. "A Novel Neural Network Analysis Method Applied to Biological Neural Networks". Thesis, view abstract or download file of text, 2006. http://proquest.umi.com/pqdweb?did=1251892251&sid=2&Fmt=2&clientId=11238&RQT=309&VName=PQD.
Pełny tekst źródłaTypescript. Includes vita and abstract. Includes bibliographical references (leaves 122- 131). Also available for download via the World Wide Web; free to University of Oregon users.
BRUCE, WILLIAM, i OTTER EDVIN VON. "Artificial Neural Network Autonomous Vehicle : Artificial Neural Network controlled vehicle". Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191192.
Pełny tekst źródłaDenna rapport har som mal att beskriva hur en Artificiellt Neuronnatverk al- goritm kan anvandas for att kontrollera en bil. Det beskriver teorin bakom neu- ronnatverk och autonoma farkoster samt hur en prototyp, som endast anvander en kamera som indata, kan designas for att testa och utvardera algoritmens formagor. Rapporten kommer visa att ett neuronnatverk kan, med bildupplos- ningen 100 × 100 och traningsdata innehallande 900 bilder, ta beslut med en 0.78 sakerhet.
De, Jongh Albert. "Neural network ensembles". Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50035.
Pełny tekst źródłaENGLISH ABSTRACT: It is possible to improve on the accuracy of a single neural network by using an ensemble of diverse and accurate networks. This thesis explores diversity in ensembles and looks at the underlying theory and mechanisms employed to generate and combine ensemble members. Bagging and boosting are studied in detail and I explain their success in terms of well-known theoretical instruments. An empirical evaluation of their performance is conducted and I compare them to a single classifier and to each other in terms of accuracy and diversity.
AFRIKAANSE OPSOMMING: Dit is moontlik om op die akkuraatheid van 'n enkele neurale netwerk te verbeter deur 'n ensemble van diverse en akkurate netwerke te gebruik. Hierdie tesis ondersoek diversiteit in ensembles, asook die meganismes waardeur lede van 'n ensemble geskep en gekombineer kan word. Die algoritmes "bagging" en "boosting" word in diepte bestudeer en hulle sukses word aan die hand van bekende teoretiese instrumente verduidelik. Die prestasie van hierdie twee algoritmes word eksperimenteel gemeet en hulle akkuraatheid en diversiteit word met 'n enkele netwerk vergelyk.
Simmen, Martin Walter. "Neural network optimization". Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/12942.
Pełny tekst źródłaСмаль, Богдан Віталійович. "Artificial Neural Network". Thesis, Київський національний університет технологій та дизайну, 2017. https://er.knutd.edu.ua/handle/123456789/7384.
Pełny tekst źródłaPost, David L. "Network Management: Assessing Internet Network-Element Fault Status Using Neural Networks". Ohio : Ohio University, 2008. http://www.ohiolink.edu/etd/view.cgi?ohiou1220632155.
Pełny tekst źródłaXu, Shuxiang. "Neuron-adaptive neural network models and applications". Thesis, [Campbelltown, N.S.W. : The Author], 1999. http://handle.uws.edu.au:8081/1959.7/275.
Pełny tekst źródłaXu, Shuxiang. "Neuron-adaptive neural network models and applications /". [Campbelltown, N.S.W. : The Author], 1999. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030702.085320/index.html.
Pełny tekst źródłaBrande, Julia K. Jr. "Computer Network Routing with a Fuzzy Neural Network". Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29685.
Pełny tekst źródłaPh. D.
Ayoub, Issa. "Multimodal Affective Computing Using Temporal Convolutional Neural Network and Deep Convolutional Neural Networks". Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39337.
Pełny tekst źródłaRoadknight, C. M. "Transparent neural network modelling". Thesis, Nottingham Trent University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314107.
Pełny tekst źródłaKulakov, Anton. "Multiprocessing neural network simulator". Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/348420/.
Pełny tekst źródłaÅström, Fredrik. "Neural Network on Compute Shader : Running and Training a Neural Network using GPGPU". Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2036.
Pełny tekst źródłaTurk, Fethi. "Improvements To Neural Network Based Restoration In Optical Networks". Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609491/index.pdf.
Pełny tekst źródłaOnyiagha, Chyke Godfrey. "Intelligent neural network access control of ATM network". Thesis, King's College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271321.
Pełny tekst źródłaLeija, Carlos Ivan. "An artificial neural network with reconfigurable interconnection network". To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Pełny tekst źródłaEmery, Robin. "Neural network-on-chip : A connection-centric reconfigurable platform for biological neural network models". Thesis, University of Newcastle Upon Tyne, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.531749.
Pełny tekst źródłaMcMichael, Lonny D. (Lonny Dean). "A Neural Network Configuration Compiler Based on the Adaptrode Neuronal Model". Thesis, University of North Texas, 1992. https://digital.library.unt.edu/ark:/67531/metadc501018/.
Pełny tekst źródłaPasca, Isabela Mona. "Neural network digital hardware implementation". Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27902.
Pełny tekst źródłaSiqueira, Ines. "Neural network-based cost estimating". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0019/MQ47816.pdf.
Pełny tekst źródłaBahr, Casey S. "Anne : another neural network emulator /". Full text open access at:, 1988. http://content.ohsu.edu/u?/etd,173.
Pełny tekst źródłaGuerin, Olivier Cedrick. ""Neural network" based process monitoring". Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/16804.
Pełny tekst źródłaLittlewort, G. C. "Neural network analysis and simulation". Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292677.
Pełny tekst źródłaMessom, Christopher H. "Engineering reliable neural network systems". Thesis, Loughborough University, 1992. https://dspace.lboro.ac.uk/2134/14137.
Pełny tekst źródłaGhafoori, Elyar. "Wavelet transform and neural network". Thesis, California State University, Long Beach, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1527935.
Pełny tekst źródłaAutomatic and accurate detection of Atrial Fibrillation (AF) from the noninvasive ECG signal is imperative in Electrocardiography. AF is mainly reflected in the ECG signal with the absence of P wave and/or irregular RR intervals. Signal processing tools can assess such detailed changes in the ECG, leading to an accurate diagnosis of AF. The proposed method relies on proper noise filtering, Stationary Wavelet Transform, and signal Power Spectrum Estimation. A feature extraction technique and a Neural Network classifier have been employed to determine the presence and absence of the AF episodes. Implementation of the proposed method with 5-fold cross validation on more than 230 hours of ECG data from MIT-BIH arterial fibrillation annotated database demonstrated an accuracy of 93% in classification of the AF and normal ECG signals.
Brierley, Matthew Joseph. "Neural network underlying snail feeding". Thesis, University of Sussex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239132.
Pełny tekst źródłaBraun, Harald. "A neural network linking process". Thesis, City University London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410159.
Pełny tekst źródłaLam, David Tai-Yuen. "Optically implementable neural network algorithms". Thesis, University of Cambridge, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385426.
Pełny tekst źródłaNag, Ronjon. "Neural network applications for finance". Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13819.
Pełny tekst źródłaTitle as it appears in the M.I.T. Graduate List, Feb. 1991: Neural network applications in finance.
Includes bibliographical references (leaves 39-42).
by Ronjon Nag.
M.S.
Hadjiprocopis, Andreas. "Feed forward neural network entities". Thesis, City University London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340374.
Pełny tekst źródłaBrown, Gavin. "Diversity in neural network ensembles". Thesis, University of Birmingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410855.
Pełny tekst źródłaRenals, Stephen John. "Speech and neural network dynamics". Thesis, University of Edinburgh, 1990. http://hdl.handle.net/1842/14271.
Pełny tekst źródłaArmstrong, James R. "Boolean weightless neural network architectures". Thesis, University of Central Lancashire, 2011. http://clok.uclan.ac.uk/5325/.
Pełny tekst źródłaKhazanova, Yekaterina. "Experiments with Neural Network Libraries". University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1527607591612278.
Pełny tekst źródłaMosher, Stephen Glenn. "Neural Network Applications in Seismology". Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42329.
Pełny tekst źródłaRimer, Michael Edwin. "Improving Neural Network Classification Training". Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2094.pdf.
Pełny tekst źródłaKabore, 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.
Pełny tekst źródłaSCADA systems are more and more targeted by cyber-attacks because of many vulnerabilities inhardware, software, protocols and the communication stack. Those systems nowadays use standard hardware, software, operating systems and protocols. Furthermore, SCADA systems which used to be air-gaped are now interconnected to corporate networks and to the Internet, widening the attack surface.In this thesis, we are using a deep learning approach to propose an efficient hybrid deep neural network for anomaly detection in SCADA systems. The salient features of SCADA data are automatically and unsupervisingly learnt, and then fed to a supervised classifier in order to dertermine if those data are normal or abnormal, i.e if there is a cyber-attack or not. Afterwards, as a response to the challenge caused by high training time of deep learning models, we proposed a distributed approach of our anomaly detection system in order lo lessen the training time of our model
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.
Pełny tekst źródłaTeng, Peiyuan. "Tensor network and neural network methods in physical systems". The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524836522115804.
Pełny tekst źródłaBrouwer, Roelof K. "Pattern recognition using a generalised discrete Hopfield network". Thesis, University of Warwick, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307974.
Pełny tekst źródłaSazli, Murat Husnu Işık Can. "Neural network applications to turbo decoding". Related Electronic Resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2003. http://wwwlib.umi.com/cr/syr/main.
Pełny tekst źródłaPogula, Sridhar Sriram. "Developing neural network applications using LabVIEW". Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4251.
Pełny tekst źródłaThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (July 14, 2006). Includes bibliographical references.
Li, Keh-Tsong, i 李克聰. "Neural Network combined with Genetic Algorithm-Evolutionary Neural Network". Thesis, 1999. http://ndltd.ncl.edu.tw/handle/37236508646662658444.
Pełny tekst źródła國立交通大學
電機與控制工程系
87
This thesis presents a Real-Coded Rank-Based Genetic Algorithm (RCRBGA), which is represented by a chromosome containing parameters in floating-point. The use of rank-based fitness increases the population diversity. The offspring are generated by the rank-based reproduction, real parametric crossover and mutation in the evolving process. Besides, an Evolutionary Neural Network (ENN) which combines RCRBGA and Back-Propagation (BP) is introduced. ENN applies the learning concept to the evolution process, like the behavior of human beings. It not only improves the disadvantage of easily slumping in to local minima of BP but also overcomes the defect of genetic algorithm, which can't efficiently converge to minima. Finally, the search ability of RCRBGA is demonstrated by an example, linear state-feedback controller via pole-assignment method. In addition, ENN applies to a classifying problem of the modified XOR to show its advantage.
"Restoration network design and neural network". Chinese University of Hong Kong, 1992. http://library.cuhk.edu.hk/record=b5887053.
Pełny tekst źródłaThesis (M.Sc.)--Chinese University of Hong Kong, 1992.
Includes bibliographical references.
Chapter SECTION 1. --- Introduction --- p.1
Chapter SECTION 2. --- Formulation of Problem --- p.2
Chapter 2.1 --- Problem Identification --- p.2
Chapter 2.2 --- Network Planning Parameters and Assumptions --- p.3
Chapter 2.3 --- Neural Network Model Transformation --- p.5
Chapter 2.4 --- Algorithm and Implementation --- p.12
Chapter SECTION 3. --- Simulation Results --- p.15
Chapter 3.1 --- All Link Costs Are Same or Nearly the Same --- p.17
Chapter 3.2 --- Fluctuated Cost in One or Two Fibre Paths --- p.18
Chapter 3.3 --- Sudden Traffic Demand Change in Last Season --- p.19
Chapter SECTION 4. --- Discussion --- p.20
Chapter SECTION 5. --- Conclusion --- p.26
GLOSSARY OF TERMS --- p.27
BIBLIOGRAPHY --- p.29
APPENDIX --- p.A1
Chapter A --- Simulation Results --- p.A1
Chapter B --- ANN Traffic Routing Example --- p.B1