Forecasting influent wastewater quality by chaos coupled machine learning optimized with Bayesian algorithm

Ramkumar, D.; Jothiprakash, V.

doi:10.1016/j.jwpe.2024.105306

Journal of Water Process Engineering

2024

DOI: 10.1016/j.jwpe.2024.105306

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Forecasting influent wastewater quality by chaos coupled machine learning optimized with Bayesian algorithm

D. Ramkumar,

V. Jothiprakash

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Forecasting influent wastewater quality by chaos coupled machine learning optimized with Bayesian algorithm

Cited by 5 publications

References 68 publications

A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants

A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants

Predicting the adsorption of ammonia nitrogen by biochar in water bodies using machine learning strategies: Model optimization and analysis of key characteristic variables

A time-averaged method to analyze slender rods moving in tubes

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