A general discrimination function and a neural network model are constructed by using RBF function.This reveals the close relation between pattern recognition and neural network.Multi-objects classification with in-plane(2-D) and out-plane(3-D) rotation invariance is implemented by using this general discrimination function and neural network model.The computer simulation shows that it is an effective method for classifying multi-objects with rotation invariance.One of the opto-electronics recognition systems is presented to implement this function and model.