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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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
University of Queensland, Australia
2017
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| 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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