Flood modelling using an integrated Artificial Neural Network and Neuro-Fuzzy technique for Johor River Basin, Malaysia
Flooding is one of the most destructive natural hazards that cause damage to both life and property every year, and therefore the development of flood model to determine inundation area in watersheds is important for decision makers. In recent years, data mining approaches such as artificial neural...
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| Format: | Thesis |
| Language: | English |
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2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/56170/1/FK%202013%20113RR.pdf |