Please use this identifier to cite or link to this item:
http://nopr.niscair.res.in/handle/123456789/767| Title: | Rainfall intensity-duration-frequency (IDF) model using an artificial neural network approach |
| Authors: | Acar, Resat Çelik, Samet Senocak, Serkan |
| Keywords: | Artificial neural network;Intensity-duration-frequency (IDF);Modelling;Nonlinear regression |
| Issue Date: | Mar-2008 |
| Publisher: | CSIR |
| Abstract: | Multilayer perceptron (MLP) artificial neural network (ANN) model was trained and used to model rainfall intensityduration- frequency (IDF) relationship for short duration rainfall (SDR), in a catchment located in a semiarid climate in Turkey. Trained ANN model has been found more suitable to predict SDR than classical statistical model. |
| Page(s): | 198-202 |
| URI: | http://hdl.handle.net/123456789/767 |
| ISSN: | 0022-4456 |
| Appears in Collections: | JSIR Vol.67(03) [March 2008] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 67(3) (2008) 198-202.pdf | 262.9 kB | Adobe PDF | View/Open |
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