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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Veröffentlicht in:	ICONIP '02 : proceedings of the 9th International Conference on Neural Information Processing : computational intelligence for the E-age : November 18-22, 2002, Singapore Jg. 3; S. 1257 - 1261 vol.3
Hauptverfasser:	Shuanghe Yu, Xinghuo Yu, Zhihong Man
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 2002
Schlagworte:	Application software Artificial neural networks Australia Computer networks Convergence Fuzzy control Fuzzy neural networks Fuzzy systems Informatics Nonlinear control systems
ISBN:	9810475241, 9789810475246
Online-Zugang:	Volltext
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