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, vol.23, pp.73-82, 2013 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23
  • Publication Date: 2013
  • Doi Number: 10.1007/s00521-012-1241-6
  • Journal Name: Neural Computing and Applications
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.73-82
  • Keywords: 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 University Affiliated: No