Convergence properties of 2-state neural networks with associate memory

Convergence properties of 2-state neural networks with associate memory

This is a study of the dynamics of neural network as formulated by Hopfield in 1982. Various update algorithms are analysed and these include the synchronous update, the asynchronous update, the best neighbour update, the gradient update and the modified gradient update. A study was also carried o...

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Main Author: Lim, Tee Hong.
Other Authors: Arichandran
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/19642
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-19642
record_format dspace
spelling sg-ntu-dr.10356-196422023-07-04T15:47:19Z Convergence properties of 2-state neural networks with associate memory Lim, Tee Hong. Arichandran School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This is a study of the dynamics of neural network as formulated by Hopfield in 1982. Various update algorithms are analysed and these include the synchronous update, the asynchronous update, the best neighbour update, the gradient update and the modified gradient update. A study was also carried out on the use of neural networks in pattern domains like error correcting codes, image scene recognition and Boolean logic problems. Master of Science (Communication and Network Systems) 2009-12-14T06:19:28Z 2009-12-14T06:19:28Z 1996 1996 Thesis http://hdl.handle.net/10356/19642 en NANYANG TECHNOLOGICAL UNIVERSITY 82 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Lim, Tee Hong.
Convergence properties of 2-state neural networks with associate memory
description This is a study of the dynamics of neural network as formulated by Hopfield in 1982. Various update algorithms are analysed and these include the synchronous update, the asynchronous update, the best neighbour update, the gradient update and the modified gradient update. A study was also carried out on the use of neural networks in pattern domains like error correcting codes, image scene recognition and Boolean logic problems.
author2 Arichandran
author_facet Arichandran
Lim, Tee Hong.
format Theses and Dissertations
author Lim, Tee Hong.
author_sort Lim, Tee Hong.
title Convergence properties of 2-state neural networks with associate memory
title_short Convergence properties of 2-state neural networks with associate memory
title_full Convergence properties of 2-state neural networks with associate memory
title_fullStr Convergence properties of 2-state neural networks with associate memory
title_full_unstemmed Convergence properties of 2-state neural networks with associate memory
title_sort convergence properties of 2-state neural networks with associate memory
publishDate 2009
url http://hdl.handle.net/10356/19642
_version_ 1772825714053087232

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