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...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2019
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| Online Access: | 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 |
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