Predicting Monthly River Flows by Genetic Fuzzy Systems

TURAN M. E., YURDUSEV M. A.

Water Resources Management, cilt.28, sa.13, ss.4685-4697, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 13
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1007/s11269-014-0767-z
  • Dergi Adı: Water Resources Management
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.4685-4697
  • Anahtar Kelimeler: Genetic fuzzy systems, Fuzzy systems, River flow estimation
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

Reliable flow forecasts are key to developing river regulation schemes such as reservoirs. River flow prediction has conventionally been undertaken by physical and black-box models. Several black-box type models have been employed to achieve this end. Of these, genetic fuzzy systems have been used in this study as they have relatively attracted limited attention to date. Genetic-fuzzy systems are the fuzzy systems that have the capability of learning and tuning by Genetic Algorithms. Employing two different fuzzy inference systems, a case study on Gediz river basin has been performed in an attempt to find a suitable genetic fuzzy system for flow prediction.