Application of Artificial Neural Network in Optimal Design of Reactor

Bingqian He *

School of Chemical Engineering, East China University of Science and Technology, Shanghai-200237, China.

Yue Si

School of Chemical Engineering, East China University of Science and Technology, Shanghai-200237, China.

*Author to whom correspondence should be addressed.


Abstract

Reactor is widely used in biology, chemical industry, metallurgy, environmental protection and other fields, playing an irreplaceable role. With the development of science and technology and the concept of green development, the application of artificial neural network to optimize the reactor reaction conditions has become a trend. Artificial neural network plays an important role in reactor optimization because of its strong fault tolerance, the ability to express complex nonlinear relations and perform complex operations. This paper will briefly describe the basic principle and research progress of artificial neural network, and its application in reactor design.

Keywords: Artificial neural network, chemical reactor, BP neural network, optimal design


How to Cite

He, Bingqian, and Yue Si. 2022. “Application of Artificial Neural Network in Optimal Design of Reactor”. Asian Journal of Research in Computer Science 14 (4):1-7. https://doi.org/10.9734/ajrcos/2022/v14i4287.

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