Prediction of Chemical Production Based on Neural Network
Fei Liang *
East China University of Science and Technology, Shanghai 200237, China.
Taowen Zhang
East China University of Science and Technology, Shanghai 200237, China.
*Author to whom correspondence should be addressed.
Abstract
As an important part of artificial intelligence and machine learning, artificial neural network (ANN) has been widely used because of its strong information processing and autonomous learning capabilities. In this paper, the development history of ANN is summarized, and the three common types of ANN are introduced: MLP neural network, BP neural network and recurrent neural network. Finally the practical application of ANN in chemical production forecasting are analyzed and an outlook on its development direction is prospected.
Keywords: Artificial neural network, chemical industry, parameter prediction, risk warning