Development of generalized feed forward network for predicting annual flood (depth) of a tropical river
The modeling of rainfall-runoff relationship in a watershed is very important in designing hydraulic structures, controlling flood and managing storm water. Artificial Neural Networks (ANNs) are known as having the ability to model nonlinear mechanisms. This study aimed at developing a Generalized F...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universiti Kebangsaan Malaysia
2014
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| Online Access: | http://journalarticle.ukm.my/8146/1/07_Mohsen.pdf |
