  Artificial neural network (ANN) has been widely used due to its strong
nonlinear mapping ability, fault tolerance and self-learning ability. This
article summarizes the development history of artificial neural networks,
introduces three common neural network types, BP neural network, RBF neural
network and convolutional neural network, and focuses on the practical
application in chemical process optimization, especially the results achieved
in multi-objective control optimization and process parameter improvement.
