Data Pre-Processing Techniques For Improving River Water Level Prediction: A Case Study Of The Dungun River, Terengganu, Malaysia
An accurate river water level prediction model is vital for the development of flood mitigation plans in a river basin, and the accuracy of input data is important for ensuring good predictions. In this research study, a Support Vector Regression (SVR) model was applied to predict river water levels...
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| Format: | Final Year Project / Dissertation / Thesis |
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2019
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| Online Access: | http://eprints.utar.edu.my/3633/1/ESA%2D2019%2D1607563%2D1.pdf http://eprints.utar.edu.my/3633/ |
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