To solve the problem that it is difficult to determine the center of radial basis function neural network hidden layer nodes

the article puts forward a new algorithm for network learning of RBFNN

namely

the algorithm that contain pruning technique of subtractive clustering algorithm and nearest neighbor clustering algorithm combine together

and cumene oxidation system modeling. The simulation results show that the algorithm increases the network learning speed and definite extend ability.