A fuzzy neural network approximator with fast terminal sliding mode and its applications

This paper presents a novel training method for fuzzy neural network (FNN) systems to approximate unknown nonlinear continuous functions. The training algorithm uses the principle of the fast terminal sliding mode (TSM) into the conventional gradient descent (GD) learning algorithm. It guarantees th...

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Bibliographic Details

Published in:	ICONIP '02 : proceedings of the 9th International Conference on Neural Information Processing : computational intelligence for the E-age : November 18-22, 2002, Singapore Vol. 3; pp. 1257 - 1261 vol.3
Main Authors:	Shuanghe Yu, Xinghuo Yu, Zhihong Man
Format:	Conference Proceeding
Language:	English
Published:	IEEE 2002
Subjects:	Application software Artificial neural networks Australia Computer networks Convergence Fuzzy control Fuzzy neural networks Fuzzy systems Informatics Nonlinear control systems
ISBN:	9810475241, 9789810475246
Online Access:	Get full text
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