Prediction of Sludge Volume Index in a Wastewater Treatment Plant Using Recurrent Neural Network
Sludge Volume Index (SVI) is one of the most important operational parameters in an activated sludge process. It is difficult to predict SVI because of the nonlinearity of data and variability operation conditions. With complex time-series data from Wastewater Treatment Plants (WWTPs), the Recurrent...
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| Format: | Article |
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2023
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| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/84278 |
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| Institution: | Mahidol University |