Estimating Missing Precipitation to Optimize Parameters for Prediction of Daily Water Level Using Artificial Neural Network

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Estimating Missing Precipitation to Optimize Parameters for Prediction of Daily Water Level Using Artificial Neural Network

This study proposes the application of Artificial Neural Network (ANN)in predicting missing precipitation to predicting daily water level for Sg. Bedup station located in Batang Sadong Basin, Sarawak.ANN is undoubtedly a strong tool for forecasting various non- linear hydrologic proc...

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Bibliographic Details
Main Author:	Dayang Suhaila, Awang Suhaili
Format:	Final Year Project Report / IMRAD
Language:	English English
Published:	UNIMAS 2006
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/7088/ http://ir.unimas.my/id/eprint/7088/1/Estimating%20missing%20precipitation%20to%20optimize%20parameters...%2824%20pgs%29.pdf http://ir.unimas.my/id/eprint/7088/4/Dayang%20Suhaila%20Awang%20Suhaili%20ft.pdf

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