Learning the architecture and parameters of RBF network based on hybrid IPL algorithm

A new method of constructing RBF network based on hybrid incremental projection-learning algorithm (HIPLA) is presented. The method substitutes aspiration criteria for original error to simplify network architecture and improve its approximation. It only needs a small number of sampling data, and its training speed is higher than the traditional one. The computer simulation results show that the output of the system is accurate.