The Method of Identifying Weights of Artificial Neural Networks with Radial Basis Functions Based on Multiple-Set Approach

Abstract

The analysis methods of identification of artificial neural networks (ANN) with radial basis functions. Characterizes the main drawback of the method of identification based on quadratic criteria. The method of identifying weights ANN with RBF based on set-theoretic approach.