Modelling hourly runoff using ann for sg. Sarawak Kanan Basin
This study proposes the application of Artificial Neural Network in the modelling hourly runoff for Sungai Sarawak. An Artificial Neural Network is undoubtedly a robust tool for forecasting various non-linear hydrologic processes, including develop a rainfall-runoff model. It is a flexible mathemati...
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Format: | Final Year Project Report |
Language: | English English |
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Universiti Malaysia Sarawak (UNIMAS)
2005
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Online Access: | http://ir.unimas.my/id/eprint/23079/1/Modelling%20hourly%20runoff%20using%20ann%20for%20Sg.%20Sarawak%20Kanan%20Basin%20%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/23079/4/Modelling%20hourly%20runoff%20using%20ann%20for%20Sg.%20Sarawak%20Kanan%20Basin%20%28fulltext%29.pdf http://ir.unimas.my/id/eprint/23079/ |
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http://ir.unimas.my/id/eprint/23079/1/Modelling%20hourly%20runoff%20using%20ann%20for%20Sg.%20Sarawak%20Kanan%20Basin%20%2824%20pgs%29.pdfhttp://ir.unimas.my/id/eprint/23079/4/Modelling%20hourly%20runoff%20using%20ann%20for%20Sg.%20Sarawak%20Kanan%20Basin%20%28fulltext%29.pdf
http://ir.unimas.my/id/eprint/23079/