Chemical Production Information Management System Based on Artificial Intelligence Neural Network Algorithm
To study the Chemical Production Information Management System. The artificial intelligence neural network evolutionary computation was introduced. Based on this, the EPNNA evolutionary algorithm was described. Then the resource management engine was established and operated. The operation result wa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2018-07-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/2820 |
| Summary: | To study the Chemical Production Information Management System. The artificial intelligence neural network evolutionary computation was introduced. Based on this, the EPNNA evolutionary algorithm was described. Then the resource management engine was established and operated. The operation result was used to confirm whether the design was effective. A study was conducted for the generated management information system and the generated procurement management information system. The results showed that the design was effective. The design breaks through the limitations of traditional development and has good results. |
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| ISSN: | 2283-9216 |