Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications

G. M. Maxwell; C. MacLeod

doi:10.1109/ICONIP.2002.1202182

Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications

G. M. Maxwell
, C. MacLeod

UHI North West and Hebrides

科研成果: Conference contribution

4 引用（Scopus）

摘要

Taguchi methods are commonly used to optimise industrial systems, particularly in manufacturing. We have shown that they may also be used to optimise neural network weights and therefore train the network. This paper builds on previous work and explains the application of the method to network training in several important areas, including pattern recognition, neurocontrol, evolutionary or genetic networks and nonlinear neurons. Consideration is also given to the training of networks for failure and fault control systems.

源语言	English
主期刊名	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
主期刊副标题	Computational Intelligence for the E-Age
编辑	Jagath C. Rajapakse, Xin Yao, Lipo Wang, Kunihiko Fukushima, Soo-Young Lee
出版商	Institute of Electrical and Electronics Engineers Inc.
页	301-305
页数	5
ISBN（电子版）	9810475241, 9789810475246
DOI	https://doi.org/10.1109/ICONIP.2002.1202182
出版状态	Published - 2002
活动	9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore 期限: 18 11月 2002 → 22 11月 2002

出版系列

姓名	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
卷	1

Conference

Conference	9th International Conference on Neural Information Processing, ICONIP 2002
国家/地区	Singapore
市	Singapore
时期	18/11/02 → 22/11/02

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

Industry innovation and infrastructure

访问文件

10.1109/ICONIP.2002.1202182

其它文件与链接

引用此

Maxwell, G. M., & MacLeod, C. (2002). Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications. 在 J. C. Rajapakse, X. Yao, L. Wang, K. Fukushima, & S.-Y. Lee (编辑), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (页码 301-305). 文章 1202182 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age; 卷 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1202182

Maxwell, G. M. ; MacLeod, C. / Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications. ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. 编辑 / Jagath C. Rajapakse ; Xin Yao ; Lipo Wang ; Kunihiko Fukushima ; Soo-Young Lee. Institute of Electrical and Electronics Engineers Inc., 2002. 页码 301-305 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age).

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title = "Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications",

abstract = "Taguchi methods are commonly used to optimise industrial systems, particularly in manufacturing. We have shown that they may also be used to optimise neural network weights and therefore train the network. This paper builds on previous work and explains the application of the method to network training in several important areas, including pattern recognition, neurocontrol, evolutionary or genetic networks and nonlinear neurons. Consideration is also given to the training of networks for failure and fault control systems.",

author = "Maxwell, \{G. M.\} and C. MacLeod",

note = "Publisher Copyright: {\textcopyright} 2002 Nanyang Technological University.; 9th International Conference on Neural Information Processing, ICONIP 2002 ; Conference date: 18-11-2002 Through 22-11-2002",

year = "2002",

doi = "10.1109/ICONIP.2002.1202182",

language = "English",

series = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "301--305",

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Maxwell, GM & MacLeod, C 2002, Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications. 在 JC Rajapakse, X Yao, L Wang, K Fukushima & S-Y Lee (编辑), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age., 1202182, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age, 卷 1, Institute of Electrical and Electronics Engineers Inc., 页码 301-305, 9th International Conference on Neural Information Processing, ICONIP 2002, Singapore, Singapore, 18/11/02. https://doi.org/10.1109/ICONIP.2002.1202182

Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications. / Maxwell, G. M.; MacLeod, C.
ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. 编辑 / Jagath C. Rajapakse; Xin Yao; Lipo Wang; Kunihiko Fukushima; Soo-Young Lee. Institute of Electrical and Electronics Engineers Inc., 2002. 页码 301-305 1202182 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age; 卷 1).

科研成果: Conference contribution

TY - GEN

T1 - Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications

AU - Maxwell, G. M.

AU - MacLeod, C.

PY - 2002

Y1 - 2002

N2 - Taguchi methods are commonly used to optimise industrial systems, particularly in manufacturing. We have shown that they may also be used to optimise neural network weights and therefore train the network. This paper builds on previous work and explains the application of the method to network training in several important areas, including pattern recognition, neurocontrol, evolutionary or genetic networks and nonlinear neurons. Consideration is also given to the training of networks for failure and fault control systems.

AB - Taguchi methods are commonly used to optimise industrial systems, particularly in manufacturing. We have shown that they may also be used to optimise neural network weights and therefore train the network. This paper builds on previous work and explains the application of the method to network training in several important areas, including pattern recognition, neurocontrol, evolutionary or genetic networks and nonlinear neurons. Consideration is also given to the training of networks for failure and fault control systems.

UR - https://www.scopus.com/pages/publications/84964999920

UR - https://www.scopus.com/pages/publications/84964999920#tab=citedBy

U2 - 10.1109/ICONIP.2002.1202182

DO - 10.1109/ICONIP.2002.1202182

M3 - Conference contribution

AN - SCOPUS:84964999920

T3 - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

SP - 301

EP - 305

BT - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing

A2 - Rajapakse, Jagath C.

A2 - Yao, Xin

A2 - Wang, Lipo

A2 - Fukushima, Kunihiko

A2 - Lee, Soo-Young

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Neural Information Processing, ICONIP 2002

Y2 - 18 November 2002 through 22 November 2002

ER -

Maxwell GM, MacLeod C. Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications. 在 Rajapakse JC, Yao X, Wang L, Fukushima K, Lee SY, 编辑, ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Institute of Electrical and Electronics Engineers Inc. 2002. 页码 301-305. 1202182. (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age). doi: 10.1109/ICONIP.2002.1202182

Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications

摘要

出版系列

Conference

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此