Hourly water level prediction of sungai bedup catchement using pre-developed ANNs model from Siniawan catchment

Hourly water level prediction of sungai bedup catchement using pre-developed ANNs model from Siniawan catchment

This study proposes the application of Artificial Neural Network in the prediction of water level under tidal influence for Sadong Basin. An Artificial Neural Network is undoubtedly a robust tool for forecasting various non-linear hydrologic processes, including the water level prediction. It is...

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Bibliographic Details
Main Author: Hong,, Calvin Chiao Chun
Format: Final Year Project Report / IMRAD
Language:English
English
Published: Universiti Malaysia Sarawak (UNIMAS) 2009
Subjects:
TA Engineering (General). Civil engineering (General)
TC Hydraulic engineering. Ocean engineering
Online Access:http://ir.unimas.my/id/eprint/7492/
http://ir.unimas.my/id/eprint/7492/1/HOURLY%20WATER%20LEVEL%20PREDICTION%20OF%20SUNGAI%20BEDUP%20%2824%20pages%29.pdf
http://ir.unimas.my/id/eprint/7492/8/Calvin%20HCC%20%20ft.pdf

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