Streamflow forecasting using a hybrid LSTM-PSO approach: the case of Seyhan Basin

Haznedar B., Kilinc H. C., Ozkan F., Yurtsever A.

NATURAL HAZARDS, cilt.117, sa.1, ss.1-21, 2023 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 117 Sayı: 1
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11069-023-05877-3
  • Dergi Adı: NATURAL HAZARDS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Environment Index, Geobase, INSPEC, Metadex, PAIS International, Pollution Abstracts, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-21
  • Anahtar Kelimeler: Forecasting, Streamflow, ANFIS, LSTM, PSO, Time Series
  • Çukurova Üniversitesi Adresli: Evet