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

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Soo See Chai , Wei Keat Wong , Kok Luong Goh ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.18178/ijesd.2017.8.5.982

Rainfall is often defined by stochastic process due \nto its random characteristics, i.e. space and time dependent and it is therefore, not easy to predict. In general, rainfall is a highly \nnon-linear and complicated phenomenon. In order to acquire an accurate prediction, advanced computer modeling and simulation is required. Artificial Neural Network (ANN) has been successfully used to predict the behavior of such non-linear system. Among the different types of ANN models used, Backpropagation Network (BPN) and Radial Basis Function \nNetworks (RBFN) are the two common ANN models that had \nproduced valuable results. However, there was no study \nconducted to research on which, among these two methods, is \nthe better model for rainfall forecast. Therefore, this study will \nfill this gap by comparing the capabilities of these two ANN \nmodels in rainfall forecast using metrological data from year \n2009 to 2013 obtained from Malaysian Meteorological \nDepartment for Kuching, Sarawak, Malaysia. From the \nresearch, it is concluded that, BPN (MSE≈0.16, R≈0.86) \nperforms better as compared to RBFN (MSE≈0.22, R≈0.82). \nThe strengths and weaknesses of these models are also presented \nin this paper.

Related Topics

Backpropagation

Flood Myth

Meteorology

Environmental Science

Computer Science

Artificial Intelligence

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Backpropagation Artificial neural network Radial basis function Flood myth Meteorology Function (biology) Environmental science Computer science Artificial intelligence Geography Biology Archaeology Evolutionary biology

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Type: article
Language: en
Landing Page: https://doi.org/10.18178/ijesd.2017.8.5.982
PDF: http://www.ijesd.org/vol8/982-S0016.pdf
OA Status: diamond
Cited By: 6
References: 14
Related Works: 10
OpenAlex ID: https://openalex.org/W2571082009

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DOI: https://doi.org/10.18178/ijesd.2017.8.5.982

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

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Language: en

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Publication year: 2017

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Publication date: 2017-01-01

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Authors: Soo See Chai, Wei Keat Wong, Kok Luong Goh

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Landing page: https://doi.org/10.18178/ijesd.2017.8.5.982

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PDF URL: https://www.ijesd.org/vol8/982-S0016.pdf

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Concepts: Backpropagation, Artificial neural network, Radial basis function, Flood myth, Meteorology, Function (biology), Environmental science, Computer science, Artificial intelligence, Geography, Biology, Archaeology, Evolutionary biology

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Cited by: 6

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