A Feedforward Neural Network with Adaptive Learning

A Feedforward Neural Network with Adaptive Learning S.M. Monzurzur Rahman, Xinghuo Yu, Man Zhihong
Abstract
	An adaptation law for the learning in a feedforward neural network is proposed. This law does not require the boundedness of input signals. The convergence analysis is presented and numerical simulation given for application to two dynamics identification problems.

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