Multimodal Fusion of Optimized GRU-LSTM with Self-Attention Layer for Hydrological Time Series Forecasting

Kilinc H., Apak S., Ozkan F., Ergin M., Yurtsever A.

WATER RESOURCES MANAGEMENT, cilt.38, sa.15, ss.6045-6062, 2024 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 15
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1007/s11269-024-03943-4
  • Dergi Adı: WATER RESOURCES MANAGEMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, ABI/INFORM, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Compendex, Environment Index, Geobase, INSPEC, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.6045-6062
  • Anahtar Kelimeler: Streamflow forecasting, Particle Swarm Optimization, Bidirectional Long Short-Term Memory, Bidirectional Gated Recurrent Unit, Fusion features, Attention layers
  • Çukurova Üniversitesi Adresli: Evet