CEEMDAN-BILSTM-ANN and SVM Models: Two Robust Predictive Models for Predicting River flow
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DOI: 10.1007/s11269-025-04105-w
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- Sarmad Dashti Latif & Ali Najah Ahmed, 2023. "Streamflow Prediction Utilizing Deep Learning and Machine Learning Algorithms for Sustainable Water Supply Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3227-3241, June.
- Sajjad M. Vatanchi & Hossein Etemadfard & Mahmoud F. Maghrebi & Rouzbeh Shad, 2023. "A Comparative Study on Forecasting of Long-term Daily Streamflow using ANN, ANFIS, BiLSTM and CNN-GRU-LSTM," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4769-4785, September.
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Keywords
River flow data; Deep learning models; Decomposition algorithm; Feature extraction;All these keywords.
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