A Comparative Study on Forecasting of Long-term Daily Streamflow using ANN, ANFIS, BiLSTM and CNN-GRU-LSTM
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DOI: 10.1007/s11269-023-03579-w
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References listed on IDEAS
- 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.
- Fatemeh Bakhshi Ostadkalayeh & Saba Moradi & Ali Asadi & Alireza Moghaddam Nia & Somayeh Taheri, 2023. "Performance Improvement of LSTM-based Deep Learning Model for Streamflow Forecasting Using Kalman Filtering," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3111-3127, June.
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- Minhao Zhang & Zhiyu Zhang & Xuan Wang & Zhenliang Liao & Lijin Wang, 2024. "The Use of Attention-Enhanced CNN-LSTM Models for Multi-Indicator and Time-Series Predictions of Surface Water Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(15), pages 6103-6119, December.
- Wen-chuan Wang & Yu-jin Du & Kwok-wing Chau & Chun-Tian Cheng & Dong-mei Xu & Wen-Tao Zhuang, 2024. "Evaluating the Performance of Several Data Preprocessing Methods Based on GRU in Forecasting Monthly Runoff Time Series," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(9), pages 3135-3152, July.
- Yiming Wei & Renchao Wang & Ping Feng, 2024. "Improving Hydrological Modeling with Hybrid Models: A Comparative Study of Different Mechanisms for Coupling Deep Learning Models with Process-based Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(7), pages 2471-2488, May.
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Keywords
Streamflow prediction; Deep learning; ANFIS; ANN; CNN; Bidirectional LSTM;All these keywords.
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