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Neural network controller using autotuning method for nonlinear functions

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2 Author(s)
Yamada, T. ; NTT Telecommun. Field Syst., R&D Center, Ibaraki, Japan ; Yabuta, T.

An autotuning method for the optimum sigmoid function of neural networks is proposed. It is based on the steepest descent method. Simulated results using a learning-type direct controller confirm both the practicality and the characteristics of the autotuning method

Published in:

Neural Networks, IEEE Transactions on  (Volume:3 ,  Issue: 4 )