The prediction of blue water footprint at Semambu water treatment plant by means of Artificial Neural Networks (ANN) and Support Vector Machine (SVM) models
Forecasting; Mean square error; Predictive analytics; Rivers; Support vector machines; Sustainable development; Water treatment; Water treatment plants; Coefficient of determination; Hyperparameters; Influencing parameters; Mean squared error; Prediction model; Prediction performance; Water footprin...
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| Main Authors: | , , , |
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| Format: | Article |
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Elsevier Ltd
2023
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| Institution: | Universiti Tenaga Nasional |
| Summary: | Forecasting; Mean square error; Predictive analytics; Rivers; Support vector machines; Sustainable development; Water treatment; Water treatment plants; Coefficient of determination; Hyperparameters; Influencing parameters; Mean squared error; Prediction model; Prediction performance; Water footprint; Waterresource management; Neural networks; artificial neural network; footprint; support vector machine; Sustainable Development Goal; water management; water resource; water supply; water treatment; Kuantan River; Malaysia; Pahang; West Malaysia |
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