Optimal initial structure of the RBF networks using time-frequency localization and genetic algorithm

In this paper, we propose the initial optimized structure of radial basis function networks that is simple and rapidly converges. We construct the hidden node with radial basis functions; their localization is similar to an approximation target function in the plane of time and frequency. We finally make a good decision for the initial structure for function approximation using a genetic algorithm.