关键词: 神经网络, 灵敏度, 逼近函数

Abstract: Sensitivity analysis is vital in the design of neural networks.The exiting approaches to the sensitivity analysis impose some limitations on network input and weight perturbations or can’t apply exact enough result.This paper gives a better sensitivity formula of multi-layer feed-forward neural networks by using two approximating functions based on piché’s stochastic model.It has the form convenient for the computation of sensitivity without introducing addition limitations，and brings less error than other methods.The result of computer simulation proves this formula is correct and exact.

Key words: neural networks, sensitivity, approximating function