BP网络是一种按误差逆传播算法训练的多层前馈网络，目前应用较为广泛。它能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。本文讲述了一种关于BP神经网络应用实例。-BP network is a back propagation algorithm by former Multilayer feedforward network, currently used more widely.They can learn and store a lot of input- output mode mappings without prior reveal mathematical equations that describe this map. This article describes an on BP neural network application examples.