Predictive Modeling and Machine Learning for Optimal Wastewater Treatment Performance
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67237-8_11
Reference20 articles.
1. Asami H, Golabi M, Albaji M (2021) Simulation of the biochemical and chemical oxygen demand and total suspended solids in wastewater treatment plants: data-mining approach. J Clean Prod 296:126533. https://doi.org/10.1016/j.jclepro.2021.126533
2. Azimi Y, Talaeian M, Sarkheil H, Hashemi R, Shirdam R (2022) Developing an evolving multi-layer perceptron network by genetic algorithm to predict full-scale municipal wastewater treatment plant effluent. J Environ Chem Eng 10(5):108398. https://doi.org/10.1016/j.jece.2022.108398
3. Deng W, Zheng Q, Chen L (2009) Regularized extreme learning machine. In: 2009 IEEE symposium on computational intelligence and data mining. IEEE, pp 389–395
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