A hybrid regression model for water quality prediction
Article Type
Research Article
Publication Title
OPSEARCH
Abstract
In this work, we propose a hybrid regression model to solve a specific problem faced by a modern paper manufacturing company. Boiler inlet water quality is a major concern for the paper machine. If water treatment plant can not produce water of desired quality, then it results in poor health of the boiler water tube and consequently affects the quality of the paper. This variation is due to several crucial process parameters. We build a hybrid regression model based on regression tree and support vector regression for boiler water quality prediction and show its excellent performance as compared to other state-of-the-art.
First Page
1167
Last Page
1178
DOI
10.1007/s12597-019-00386-z
Publication Date
12-1-2019
Recommended Citation
Chakraborty, Tanujit; Chakraborty, Ashis Kumar; and Mansoor, Zubia, "A hybrid regression model for water quality prediction" (2019). Journal Articles. 602.
https://digitalcommons.isical.ac.in/journal-articles/602