Analyze mathematical model for optimization of anaerobic digestion for treatment of waste water

A Critical Review of Data Science Applications in Resource Recovery and Carbon Capture from Organic Waste

“…Further, analysis of literature data has shown that linear regression models (e.g., MLR and PLSR) have been applied less than nonlinear regression (e.g., MPR) when statistical methods were solely used for process modeling (Figure a). This finding is understandable considering the complex nonlinear nature of the chemical and biological processes involved in the treatment of the feedstocks. , The application of MPR in RRCC has declined since 2002, possibly due to the increased utilization of ML methods for their enhanced ability to capture complex nonlinear interactions in the organic waste treatment. ,, Among the different ML methods, ANNs are the most commonly utilized method since 2010. During 2018–2022, most of the applications of data-driven methods encompassed SVR and the tree-based algorithms such as RT.…”

“…This finding is understandable considering the complex nonlinear nature of the chemical and biological processes involved in the treatment of the feedstocks. 698 , 699 The application of MPR in RRCC has declined since 2002, possibly due to the increased utilization of ML methods for their enhanced ability to capture complex nonlinear interactions in the organic waste treatment. 245 , 700 , 701 Among the different ML methods, ANNs are the most commonly utilized method since 2010.…”