Abstract: This paper was a research on the identification of linear and nonlinear systems on basis of function approximation. The identification equation was given. The neural network model of systems have been proposed. The optimal learning algorithm for neural network was constructed. Computer simulation shows that the new algorithm has better approximation, generalization and convergence property.