Abstract: The feedforward neural networks has been greatly used in the nonlinear signals processing. The classical BP algorithm is a standard learning algorithm for the feedforward neural netwrks,but in many applications, the BP algorithm has a very slow convergence speed.In this paper,a new algorithm on the linearization of nonlinear neural in feedforward neural networks is proposed,and its precision and convergence speed is better than the classical BP algorithm's.