Prediction of full-scale filtration plant performance using artificial neural networks based on principal component analysis

Volume: 230, Pages: 115868 - 115868
Published: Jan 1, 2020
Abstract
To obtain standard water quality is one of the most crucial issues must be discussed. To get higher water quality, the separation and purification processes must be applied. In this study, 44 water quality parameters were monitored between May 2018 and February 2019 in order to evaluate the efficiency of a full-scale filtration plant which uses particulate-, micro- and ultrafiltration processes as a pre-treatment and applied reverse osmosis as...
Paper Details
Title
Prediction of full-scale filtration plant performance using artificial neural networks based on principal component analysis
Published Date
Jan 1, 2020
Volume
230
Pages
115868 - 115868
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