Neural network controller using autotuning method for nonlinear functions.
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.
Yamada
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NTT Telecommun. Field Syst., RandD Center, Ibaraki.
Yabuta
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