A Comprehensive Study On Developing Neural Network Models For Predicting The Coagulant Dosage And Treated Water Qualities For A Water Treatment Plant

Determination of the optimum coagulant dosage for water treatment is traditionally carried out using the jar test, which is a time consuming procedure incapable of responding to sudden changes in water qualities. Therefore, data driven modeling techniques such as neural networks are used for develop...

書誌詳細
第一著者:	Jayaweera, Chamanthi Denisha
フォーマット:	学位論文
言語:	英語
出版事項:	2019
主題:	T Technology TP155-156 Chemical engineering
オンライン･アクセス:	http://eprints.usm.my/46832/
Abstract	Abstract here

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