Artificial neural networks for rainfall runoff modelling with special reference to Sg. Bedup catchment area

• Main Author: Kuok, King Kuok
• Format: Thesis
• Language: English
• Published: Universiti Malaysia Sarawak, UNIMAS 2004
• Subjects: TC Hydraulic engineering. Ocean engineering
• Online Access: http://ir.unimas.my/id/eprint/3137/1/Kuok.pdf; http://ir.unimas.my/id/eprint/3137/
• Institution: Universiti Malaysia Sarawak

Artificial Neural Network (ANN) is an information-processing system composed of many nonlinear and densely interconnected processing elements or neurons. ANN is able to extract the relation between the inputs and outputs of a process, without the physics being explicitly provided to them. The natural behavior of hydrological processes is appropriate for the application ANN in hydrology. A rainfall runoff model for Sungai Bedup Basin in Sarawak was built using three different ANN architectures namely Multilayer perceptron (MLP), Recurrent (REC) and Radial Basic function (RBF).