BP(back propagation)神经网络是1986年由Rumelhart和McClelland为首的科学家提出的概念，是一种按照误差逆向传播算法训练的多层前馈神经网络，是目前应用最广泛的神经网络(BP Neural network is a concept proposed by scientists led by Rumelhart and McClelland in 1986. It is a multilayer feedforward neural network trained by error back-propagation algorithm. It is the most widely used neural network at present)