BP网络（Back Propagation），是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络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。-Back Propagation (BP), a multi-layer feedforward neural network trained by the error back propagation algorithm, is one of the most widely used neural network models, which was developed by Rumelhart and McCelland in 1986. BP network can learn and store a large number of input- output mode mapping, without the need to reveal the mathematical relationship between the descr iption of the mathematical equation.