Research on Chemical Process Optimization Based on Artificial Neural Network Algorithm

Fei Liang *

East China University of Science and Technology, 200237 Shanghai, China.

Taowen Zhang

East China University of Science and Technology, 200237 Shanghai, China.

*Author to whom correspondence should be addressed.


Abstract

Artificial Neural Network (ANN) is established by imitating the human brain's nerve thinking mode. Because of its strong nonlinear mapping ability, fault tolerance and self-learning ability, it is widely used in many fields such as intelligent driving, signal processing, process control and so on. This article introduces the basic principles, development history and three common neural network types of artificial neural networks, BP neural network, RBF neural network and convolutional neural network, focusing on the research progress of the practical application of neural networks in chemical process optimization.

Keywords: Artificial neural network, chemical process, process optimization


How to Cite

Liang, F., & Zhang, T. (2021). Research on Chemical Process Optimization Based on Artificial Neural Network Algorithm. Asian Journal of Research in Computer Science, 12(4), 12–24. https://doi.org/10.9734/ajrcos/2021/v12i430291

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