Rainfall intensity-duration-frequency (IDF) model using an artificial neural network approach

Acar, Reşat; Çelik, Semet; Şenocak, Serkan

Makale Tam Makale Uluslararası 2008

Rainfall intensity-duration-frequency (IDF) model using an artificial neural network approach

Journal of Scientific and Industrial Research Cilt 67 · Sayı 3 · ss. 198–202 · 01.03.2008

Özet

Multilayer perceptron (MLP) artificial neural network (ANN) model was trained and used to model rainfall intensity duration-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.

Anahtar kelimeler

Artificial neural network intensity-duration-frequency (IDF) modelling nonlinear regression

Atıf için künye

Acar, R., Çelik, S., & Şenocak, S. (2008). Rainfall intensity-duration-frequency (IDF) model using an artificial neural network approach. Journal of Scientific and Industrial Research, 67(3), 198–202. http://nopr.niscair.res.in/handle/123456789/726

BibTeX

@article{acar2008-183252,
  author = {Acar, Reşat and Çelik, Semet and Şenocak, Serkan},
  title = {Rainfall intensity-duration-frequency (IDF) model using an artificial neural network approach},
  journal = {Journal of Scientific and Industrial Research},
  year = {2008},
  volume = {67},
  number = {3},
  pages = {198--202},
  issn = {0022-4456},
  url = {https://akademik.atauni.edu.tr/yayinlar/183252-rainfall-intensity-duration-frequency-idf-model-using-an-artificial-neural}
}