神经网络的神经元是状态响应的信号部件，神经元状态直接影响神经网络的输出信息精度．本文探讨神经元活动状态的鉴别技术，考虑了活动状态的强度，它将提高一般神经网络模型的精度． The neurons in the neural network are the signal components of the state response. The neuron status directly affects the output information accuracy of the neural network. This article explores the identification of neuronal activity status, considering the strength of the activity state, which will improve the accuracy of the general neural network model.