THE STUDY OF A NEURAL NETWORKS MODEL WITH COMPENSATING INPUTS

This paper puts forward a new neural networks model with compensating inputs by applying the principle of error feedback in neural networks.Using this neural networks model for nonlinear systems modelling,the dynamic error can be effectively reduced.The structure,learning algorithm and working way of this new model are given.The simulation shows the neural networks model with compensating inputs is effective for nonlinear systems modelling.