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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Queensland, Australia
2017
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| Subjects: | |
| Online Access: | 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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