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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書誌詳細
主要な著者: Chai, Soo See, Wong, Wei Keat, Kok, Luong Goh
フォーマット: 論文
言語:English
出版事項: University of Queensland, Australia 2017
主題:
オンライン・アクセス:http://ir.unimas.my/id/eprint/15861/1/Rainfall%20Classification%20for%20Flood%20Prediction%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/15861/
http://www.ijesd.org/
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