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...
Saved in:
主要作者: | Jayaweera, Chamanthi Denisha |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2019
|
主题: | |
在线阅读: | http://eprints.usm.my/46832/1/A%20Comprehensive%20Study%20On%20Developing%20Neural%20Network%20Models%20For%20Predicting%20The%20Coagulant%20Dosage%20And%20Treated%20Water%20Qualities%20For%20A%20Water%20Treatment%20Plant.pdf http://eprints.usm.my/46832/ |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Leachate treatment by using composite coagulant made from polyaluminium chloride (PAC) and tapioca starch (TS)
由: Omar, Mohamad Azizan
出版: (2019) -
Membrane Fouling And Cleaning Study For Drinking Water Treatment Using Integrated Membrane System
由: Mohamed Nor, Noorlaila
出版: (2015) -
Air pollution index prediction using multiple neural networks
由: Ahmad, Zainal, et al.
出版: (2017) -
Air Pollution Index Prediction Using Multiple Neural Networks
由: Ahmad, Zainal, et al.
出版: (2017) -
Synthesis Of Open-Shell Iron Oxide-Polyelectrolyte-Silica Nanocomposite For Water Treatment Application
由: Che, Hui Xin
出版: (2017)