Abstract:The least squares error or L2 criterion approach has been commonly used in functional approximation and generalization in the error backpropagation algorithm. The purpose of this study is to present an absolute error criterion rather than the usual least squares error criterion for the sigmoidal backpropagation algorithm. We present the structure of the error function to be minimized and its derivatives with respect to the weights to be updated. The focus of the study is on the single hidden layer multilayer p… Show more
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