Flood prediction of Sungai Bedup, Serian, Sarawak, Malaysia using deep learning

• Main Author: Roselind, Tei
• Format: Final Year Project Report
• Language: English; English
• Published: Universiti Malaysia Sarawak (UNIMAS) 2018
• Subjects: GE Environmental Sciences
• Online Access: http://ir.unimas.my/id/eprint/29088/1/Flood%20prediction%20of%20Sungai%20Bedup%2C%20Serian%2C%20Sarawak%2C%20Malaysia%20using%20deep%20learning%20%2824%20pgs%29.pdf; http://ir.unimas.my/id/eprint/29088/4/Roselind%20Tei%20ft.pdf; http://ir.unimas.my/id/eprint/29088/

This study aims to evaluate the performance of the Long Short Term Memory (LSTM) model for flood forecasting. Seven water level data sets provided by the Department of Irrigation and Drainage (DID) for Sungai Bedup, Serian, Kuching, Sarawak, Malaysia are used for evaluating the performances of this...