Boundedness of estimator with an improved back propagation algorithm

This paper proposes a novel learning algorithm with a variable learning gain and a /spl sigma/-modification term for a multilayered neural network. The learning gain is decided by the 'Levenberg-Marquardt' algorithm, which is a nonlinear least squares method. The boundedness of the weighti...

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Veröffentlicht in:	Proceedings of the 1996 IEEE IECON : 22nd International Conference on Industrial Electronics, Control, and Instrumentation Jg. 1; S. 309 - 314 vol.1
Hauptverfasser:	Ikeda, K., Shin, S.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 1996
Schlagworte:	Adaptive control Education Filters Gain Multi-layer neural network Neural networks Neurons Physics Robust control Upper bound
ISBN:	0780327756, 9780780327757
Online-Zugang:	Volltext
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