We consider in this paper the learning problem of hidden nodes of a three-layend feedforwardneural network. An algorithm for dynamically deleting redundant hidden nodes during the weight learning Process is Presented based on an allalysis Of the differences the outputs of the hidden layer corresjponding to training samples. Numerical results show that the algorithm is feasible