Sewage treatment process performance evaluation index weight determination model design and research

Yi Guo; Yanhui Xu; Zhuobing Di

doi:10.1117/12.2675544

25 May 2023 Sewage treatment process performance evaluation index weight determination model design and research

Yi Guo, Yanhui Xu, Zhuobing Di

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126363A (2023) https://doi.org/10.1117/12.2675544
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

Sewage treatment technology is developing day by day, a systematic, objective, complete evaluation method to evaluate the sewage treatment process is imminent. Sewage treatment AAO process as a domestic sewage treatment plant land is relatively more process, we in comprehensive evaluation, the AAO process evaluation index system in the role in the whole sewage treatment process is different, to the final treatment of water quality weight is different, which requires us to design a scientific and reasonable sewage treatment AAO process performance evaluation index weight determination model. This paper combines AAO process performance evaluation index system with BP neural network model, design and study it, and the evaluation index weight is determined through BP neural network model, which improves the effectiveness and objectivity of process performance index weight.

Citation Download Citation

Yi Guo, Yanhui Xu, and Zhuobing Di "Sewage treatment process performance evaluation index weight determination model design and research", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126363A (25 May 2023); https://doi.org/10.1117/12.2675544

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