Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification

This thesis is focused on the development of evolutionary artificial neural network (EANN) models for pattern classification.

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Bibliographic Details
Main Author:	Tan, Shing Chiang
Format:	Thesis
Published:	2008
Subjects:	TK7800-8360 Electronics
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id	my-mmu-ep.1681
record_format	uketd_dc
spelling	my-mmu-ep.16812010-09-23T04:20:55Z Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification 2008-09 Tan, Shing Chiang TK7800-8360 Electronics This thesis is focused on the development of evolutionary artificial neural network (EANN) models for pattern classification. 2008-09 Thesis http://shdl.mmu.edu.my/1681/ http://myto.perpun.net.my/metoalogin/logina.php phd doctoral Multimedia University Research Library
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Tan, Shing Chiang Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification
description	This thesis is focused on the development of evolutionary artificial neural network (EANN) models for pattern classification.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Tan, Shing Chiang
author_facet	Tan, Shing Chiang
author_sort	Tan, Shing Chiang
title	Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification
title_short	Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification
title_full	Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification
title_fullStr	Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification
title_full_unstemmed	Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification
title_sort	novel improvement techniques to fuzzy artmap and their evolutionary models for pattern classification
granting_institution	Multimedia University
granting_department	Research Library
publishDate	2008
_version_	1747829430963666944

Novel Improvement Techniques To Fuzzy Artmap And Their Evolutionary Models For Pattern Classification

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