This paper gives a brief review of Artificial Neural Network

a branch of machine learning. It is based on the neuronal model and the perceptual model. BP Neural Network

including the input layer

the implicit layer and the output layer

is widely used in all walks of life

which has an important role in building data prediction model. It also has different versions in different machine learning fields. In recent years

some people have put forward adaptive enhancement BP Neural Network. They also combined it with genetic algorithm and produced a new model of GA-BP neural network. Those improved versions are aimed at some weaknesses of BP Neural Network

which made it more suitable for related fields research. In the end

this paper summarizes the applications of BP Neural Networks and other neural networks such as ANN

CNN in human life

and look forward to the future development of neural networks.