Water level predictio for Limbang basin using multilayer perceptron (mlp) and radial basis function (rbf) neural network

Water level predictio for Limbang basin using multilayer perceptron (mlp) and radial basis function (rbf) neural network

This study proposes the application of Artificial Neural Network (ANN) in the prediction of water level under tidal influence for Sungai Limbang. ANN is undoubtedly a robust tool for forecasting various non-linear hydrologic processes, including the water level prediction. It is a flexible mathemati...

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Bibliographic Details
Main Author: Muhammad Noor Hisyam, Abg Hashim
Format: Final Year Project Report / IMRAD
Language:English
English
Published: Universiti Malaysia Sarawak (UNIMAS) 2010
Subjects:
QC Physics
TC Hydraulic engineering. Ocean engineering
Online Access:http://ir.unimas.my/id/eprint/7814/
http://ir.unimas.my/id/eprint/7814/1/Noor%20Hisyam.pdf
http://ir.unimas.my/id/eprint/7814/4/Noor%20Hisyam%20full.pdf

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