Liang, Fei and Zhang, Taowen (2021) Prediction of Chemical Production Based on Neural Network. Asian Journal of Applied Chemistry Research, 10 (3-4). pp. 51-65. ISSN 2582-0273
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Abstract
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.
Item Type: | Article |
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Subjects: | Article Archives > Chemical Science |
Depositing User: | Unnamed user with email support@articlearchives.org |
Date Deposited: | 09 Feb 2023 09:33 |
Last Modified: | 29 Jun 2024 11:01 |
URI: | http://archive.paparesearch.co.in/id/eprint/207 |