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- W2897515081 abstract "Abstract Predictive models are potential tools for assessing changes in a water treatment process and water quality, and to be used as assistance in process control to ensure the production and distribution of high quality drinking water to consumers with lower operation costs. In this work, mathematical variable selection methods were utilized to find the optimal subsets of variables to develop predictive models for the two quality parameters of drinking water. The found variable subsets were evaluated using three modelling methods and comparisons with the expert knowledge-based models were carried out. The study pointed out the importance of expert knowledge and showed that predicting the quality of treated water is possible but finding an optimal subset of input parameters for a model that predicts the precise value of a quality parameter is challenging." @default.
- W2897515081 created "2018-10-26" @default.
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- W2897515081 date "2018-10-17" @default.
- W2897515081 modified "2023-10-18" @default.
- W2897515081 title "Utilizing variable selection methods in modelling potable water quality" @default.
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- W2897515081 doi "https://doi.org/10.2166/ws.2018.173" @default.
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