Liang, Fei and Zhang, Taowen (2021) Research on Chemical Process Optimization Based on Artificial Neural Network Algorithm. Asian Journal of Research in Computer Science, 12 (4). pp. 12-24. ISSN 2581-8260
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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.
Item Type: | Article |
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Subjects: | Librbary Digital > Geological Science |
Depositing User: | Unnamed user with email support@librbarydigit.com |
Date Deposited: | 27 Feb 2023 10:13 |
Last Modified: | 24 Jun 2024 05:27 |
URI: | http://info.openarchivelibrary.com/id/eprint/87 |