Backpropagation vs. radial basis function neural model : Rainfall intensity classification for flood prediction using meteorology data

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Backpropagation vs. radial basis function neural model : Rainfall intensity classification for flood prediction using meteorology data

Rainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (> 30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this fiel...

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Bibliographic Details
Main Authors:	Chai, S.S., Wong, W.K., Goh, K.L.
Format:	Article
Language:	English
Published:	Science Publications 2016
Subjects:	GE Environmental Sciences
Online Access:	http://ir.unimas.my/id/eprint/12458/ http://ir.unimas.my/id/eprint/12458/1/Backpropagation%20Vs.%20Radial%20-%20Copy.pdf

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