Fuzzy genetic approach for modeling of the critical submergence of an intake

Kocabaş F., Ünal B., ÜNAL S., Fedakar H. İ., Gemici E.

Neural Computing and Applications, cilt.23, ss.73-82, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 23
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1007/s00521-012-1241-6
  • Dergi Adı: Neural Computing and Applications
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.73-82
  • Anahtar Kelimeler: Fuzzy genetic approach, Adaptive neurofuzzy inference system, Artificial neural network, Critical submergence ratio, Intake pipe, OPEN-CHANNEL FLOW, INTAKE PIPE, RECTANGULAR INTAKE, STILL-WATER, PREDICTION, ALGORITHM, RESERVOIR
  • Abdullah Gül Üniversitesi Adresli: Hayır