Prediction of SO 2 concentration in WFGD system based on GWO optimized CNN ‐ BiLSTM ‐attention
Due to external disturbances, the parameters of the desulphurization system are uncertain, and their relationships are complex, which makes it difficult to predict the concentration of SO 2 at the desulphurization system outlet. In this paper, grey wolf optimization (GWO) optimized convolutional neu...
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Veröffentlicht in: | Canadian journal of chemical engineering 2024-11 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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