Pseudo outer-product based fuzzy neural networks

Pseudo outer-product based fuzzy neural networks

Fuzzy rule-based systems and neural networks are complementary Artificial Intelligence (AI) techniques. Considerable amount of research and development has been directed at the integration of fuzzy rule-based systems and neural network techniques into hybrid fuzzy neural networks. Such hybrid system...

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Main Author: Zhou, Ruowei.
Other Authors: Quek, Hiok Chai
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:http://hdl.handle.net/10356/20482
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-20482
record_format dspace
spelling sg-ntu-dr.10356-204822020-09-27T20:16:24Z Pseudo outer-product based fuzzy neural networks Zhou, Ruowei. Quek, Hiok Chai School of Applied Science DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Fuzzy rule-based systems and neural networks are complementary Artificial Intelligence (AI) techniques. Considerable amount of research and development has been directed at the integration of fuzzy rule-based systems and neural network techniques into hybrid fuzzy neural networks. Such hybrid systems enhance the cumulative advantages and alleviate the shortcomings of the respective techniques. Several novel fuzzy neural network architectures and their learning algorithms have been developed as part of this doctoral work and are presented in this thesis. Doctor of Philosophy 2009-12-15T03:06:46Z 2009-12-15T03:06:46Z 1997 1997 Thesis http://hdl.handle.net/10356/20482 en NANYANG TECHNOLOGICAL UNIVERSITY 203 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Zhou, Ruowei.
Pseudo outer-product based fuzzy neural networks
description Fuzzy rule-based systems and neural networks are complementary Artificial Intelligence (AI) techniques. Considerable amount of research and development has been directed at the integration of fuzzy rule-based systems and neural network techniques into hybrid fuzzy neural networks. Such hybrid systems enhance the cumulative advantages and alleviate the shortcomings of the respective techniques. Several novel fuzzy neural network architectures and their learning algorithms have been developed as part of this doctoral work and are presented in this thesis.
author2 Quek, Hiok Chai
author_facet Quek, Hiok Chai
Zhou, Ruowei.
format Theses and Dissertations
author Zhou, Ruowei.
author_sort Zhou, Ruowei.
title Pseudo outer-product based fuzzy neural networks
title_short Pseudo outer-product based fuzzy neural networks
title_full Pseudo outer-product based fuzzy neural networks
title_fullStr Pseudo outer-product based fuzzy neural networks
title_full_unstemmed Pseudo outer-product based fuzzy neural networks
title_sort pseudo outer-product based fuzzy neural networks
publishDate 2009
url http://hdl.handle.net/10356/20482
_version_ 1681057930493820928

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