Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater
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2024
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oai:utpedia.utp.edu.my:312532025-03-07T09:34:04Z http://utpedia.utp.edu.my/id/eprint/31253/ Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater Vijayan, Sharmila TD Environmental technology. Sanitary engineering 2024-05 Thesis NonPeerReviewed Vijayan, Sharmila (2024) Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater. Masters thesis, UNIVERSITI TEKNOLOGI PETRONAS. |
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Asia |
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Malaysia |
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Universiti Teknologi Petronas |
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TD Environmental technology. Sanitary engineering |
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TD Environmental technology. Sanitary engineering Vijayan, Sharmila Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater |
| format |
Thesis |
| author |
Vijayan, Sharmila |
| author_facet |
Vijayan, Sharmila |
| author_sort |
Vijayan, Sharmila |
| title |
Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater |
| title_short |
Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater |
| title_full |
Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater |
| title_fullStr |
Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater |
| title_full_unstemmed |
Study Of Artificial Neural Network (ANN) And Response Surface Methodology (RSM) Modelling For Degradation Of Pollutants From Wastewater |
| title_sort |
study of artificial neural network (ann) and response surface methodology (rsm) modelling for degradation of pollutants from wastewater |
| publishDate |
2024 |
| url |
http://utpedia.utp.edu.my/id/eprint/31253/ |
| _version_ |
1826072865403830272 |
| score |
13.244413 |