Rainfall Classification for Flood Prediction Using
Meteorology Data of Kuching, Sarawak, Malaysia:
Backpropagation vs Radial Basis Function Neural Network

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Rainfall Classification for Flood Prediction Using Meteorology Data of Kuching, Sarawak, Malaysia: Backpropagation vs Radial Basis Function Neural Network

Rainfall is often defined by stochastic process due to its random characteristics, i.e. space and time dependent and it is therefore, not easy to predict. In general, rainfall is a highly non-linear and complicated phenomenon. In order to acquire an accurate prediction, advanced computer modeling...

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Bibliographic Details
Main Authors:	Chai, Soo See, Wong, Wei Keat, Kok, Luong Goh
Format:	Article
Language:	English
Published:	University of Queensland, Australia 2017
Subjects:	T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/15861/ http://ir.unimas.my/id/eprint/15861/1/Rainfall%20Classification%20for%20Flood%20Prediction%20%28abstract%29.pdf

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