Open AccessPrediction of Chemical Production Based on Neural Network
Author(s) -
Fei Liang,
Taowen Zhang
Publication year - 2021
Publication title -
asian journal of applied chemistry research
Language(s) - English
Resource type - Journals
ISSN - 2582-0273
DOI - 10.9734/ajacr/2021/v10i3-430241
Subject(s) - artificial neural network , artificial intelligence , nervous system network models , computer science , machine learning , time delay neural network , production (economics) , types of artificial neural networks , probabilistic neural network , economics , macroeconomics
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.