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...
| Main Author: | |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/3633/ http://eprints.utar.edu.my/3633/1/ESA%2D2019%2D1607563%2D1.pdf |