Prediction of effluent from WWTPs using differential evolutionary extreme learning machines
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7547213/7553055/07553666.pdf?arnumber=7553666
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Analysis of Metaheuristic Algorithms for Optimized Extreme Learning Machines in Various Sectors;5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing;2023
2. RFE-LSTM-Based Effluent Quality Prediction Method for Wastewater Treatment Plant;2022 IEEE 31st International Symposium on Industrial Electronics (ISIE);2022-06-01
3. A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms;Environmental Science and Pollution Research;2021-11-05
4. The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty;Process Safety and Environmental Protection;2020-08
5. Uncertainties of instantaneous influent flow predictions by intelligence models hybridized with multi-objective shark smell optimization algorithm;Journal of Hydrology;2020-08
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