Prediction of maximum annual flood discharges using artificial neural network approaches

ANILAN T., NACAR S., Kankal M., YÜKSEK Ö.

Gradjevinar, cilt.72, sa.3, ss.215-224, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 72 Sayı: 3
  • Basım Tarihi: 2020
  • Doi Numarası: 10.14256/jce.2316.2018
  • Dergi Adı: Gradjevinar
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, ICONDA Bibliographic, Metadex, Directory of Open Access Journals, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.215-224
  • Anahtar Kelimeler: artificial neural networks, principal component analysis, maximum annual flows, PRINCIPAL COMPONENT ANALYSIS, L-MOMENTS APPROACH, FREQUENCY-ANALYSIS, INDEX-FLOOD, FEEDFORWARD NETWORKS, STREAMFLOW, BASIN, CLASSIFICATION, RAINFALL, QUALITY
  • Karadeniz Teknik Üniversitesi Adresli: Evet