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

Résultats de recherche: Conference contribution

4 Citations (Scopus)

Résumé

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.

langue originale	English
titre	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
Sous-titre	Computational Intelligence for the E-Age
rédacteurs en chef	Jagath C. Rajapakse, Xin Yao, Lipo Wang, Kunihiko Fukushima, Soo-Young Lee
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	301-305
Nombre de pages	5
ISBN (Electronique)	9810475241, 9789810475246
Les DOIs	https://doi.org/10.1109/ICONIP.2002.1202182
état	Published - 2002
Evénement	9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore Durée: 18 nov. 2002 → 22 nov. 2002

Série de publications

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

Conference

Conference	9th International Conference on Neural Information Processing, ICONIP 2002
Pays/Territoire	Singapore
La ville	Singapore
période	18/11/02 → 22/11/02

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

Industry innovation and infrastructure

Accès au document

10.1109/ICONIP.2002.1202182

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Contient cette citation

Maxwell, G. M., & MacLeod, C. (2002). Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications. Dans J. C. Rajapakse, X. Yao, L. Wang, K. Fukushima, & S.-Y. Lee (eds.), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (p. 301-305). Article 1202182 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age; Vol 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. Editeur / Jagath C. Rajapakse ; Xin Yao ; Lipo Wang ; Kunihiko Fukushima ; Soo-Young Lee. Institute of Electrical and Electronics Engineers Inc., 2002. p. 301-305 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age).

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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.",

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Maxwell, GM & MacLeod, C 2002, Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications. Dans JC Rajapakse, X Yao, L Wang, K Fukushima & S-Y Lee (eds), 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, VOL. 1, Institute of Electrical and Electronics Engineers Inc., p. 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. Ed. / Jagath C. Rajapakse; Xin Yao; Lipo Wang; Kunihiko Fukushima; Soo-Young Lee. Institute of Electrical and Electronics Engineers Inc., 2002. p. 301-305 1202182 (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age; Vol 1).

Résultats de recherche: Conference contribution

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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.

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Maxwell GM, MacLeod C. Using Taguchi methods to train artificial neural networks in pattern recognition, control and evolutionary applications. Dans Rajapakse JC, Yao X, Wang L, Fukushima K, Lee SY, rédacteurs en chef, 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. p. 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

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