Research on Chemical Process Optimization Based on Artificial Neural Network Algorithm
Asian Journal of Research in Computer Science · pp. 12–24 · Published 3 Dec 2021
10.9734/ajrcos/2021/v12i430291Abstract
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.
Cited by 12
Jing Sun, Qiong Chen · Asian Journal of Chemical Sciences · 2022
Haonan Wang, Yijia Chen · Asian Journal of Research in Computer Science · 2022
Tongming Xu, Haiming Zhang, Bozhao Li · Journal of Chemical Engineering of Japan · 2025
Keqi Guo, Hongji Chen, Qinshan Liu · Particulate Science and Technology · 2025
Fei Liang, Li Sun, Zuoxiang Zeng · Chemical Engineering Research and Design · 2023
Tongming Xu, Haiming Zhang, Bozhao Li · 2023
Showing 6 of 12 known citations — external sources report more than can currently be individually listed.
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