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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Elsevier Ltd
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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 |
|---|