TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2025-01-01
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| Series: | ACS Omega |
| Online Access: | https://doi.org/10.1021/acsomega.4c09634 |
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| _version_ | 1832592401845190656 |
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| author | Jianguo Dong Xiaona Liu Ruixian Su Huimin Xu Tianyu Yu |
| author_facet | Jianguo Dong Xiaona Liu Ruixian Su Huimin Xu Tianyu Yu |
| author_sort | Jianguo Dong |
| collection | DOAJ |
| format | Article |
| id | doaj-art-250be6ce21d248ffbfb84a525f01cbe0 |
| institution | Kabale University |
| issn | 2470-1343 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | American Chemical Society |
| record_format | Article |
| series | ACS Omega |
| spelling | doaj-art-250be6ce21d248ffbfb84a525f01cbe02025-01-21T08:40:23ZengAmerican Chemical SocietyACS Omega2470-13432025-01-011022269227910.1021/acsomega.4c09634TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia ProcessJianguo Dong0Xiaona Liu1Ruixian Su2Huimin Xu3Tianyu Yu4School of Automation, Southeast University, Nanjing, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Chinahttps://doi.org/10.1021/acsomega.4c09634 |
| spellingShingle | Jianguo Dong Xiaona Liu Ruixian Su Huimin Xu Tianyu Yu TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process ACS Omega |
| title | TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process |
| title_full | TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process |
| title_fullStr | TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process |
| title_full_unstemmed | TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process |
| title_short | TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process |
| title_sort | tcn transformer deep network with random forest for prediction of the chemical synthetic ammonia process |
| url | https://doi.org/10.1021/acsomega.4c09634 |
| work_keys_str_mv | AT jianguodong tcntransformerdeepnetworkwithrandomforestforpredictionofthechemicalsyntheticammoniaprocess AT xiaonaliu tcntransformerdeepnetworkwithrandomforestforpredictionofthechemicalsyntheticammoniaprocess AT ruixiansu tcntransformerdeepnetworkwithrandomforestforpredictionofthechemicalsyntheticammoniaprocess AT huiminxu tcntransformerdeepnetworkwithrandomforestforpredictionofthechemicalsyntheticammoniaprocess AT tianyuyu tcntransformerdeepnetworkwithrandomforestforpredictionofthechemicalsyntheticammoniaprocess |