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 (back propagation) neural network is a concept put forward by scientists headed by Rumelhart and McClelland in 1986. It is a multilayer feedforward neural network trained according to the error reverse propagation algorithm, and it is currently the most widely applied neural network.)