Auto-Regressive Neural-Network Models for Long Lead-Time Forecasting of Daily Flow
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DOI: 10.1007/s11269-018-2094-2
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- Noakes, Donald J. & McLeod, A. Ian & Hipel, Keith W., 1985. "Forecasting monthly riverflow time series," International Journal of Forecasting, Elsevier, vol. 1(2), pages 179-190.
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Cited by:
- Zhennan Liu & Qiongfang Li & Jingnan Zhou & Weiguo Jiao & Xiaoyu Wang, 2021. "Runoff Prediction Using a Novel Hybrid ANFIS Model Based on Variable Screening," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(9), pages 2921-2940, July.
- Mingxiang Yang & Hao Wang & Yunzhong Jiang & Xing Lu & Zhao Xu & Guangdong Sun, 2020. "GECA Proposed Ensemble–KNN Method for Improved Monthly Runoff Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 849-863, January.
- Mustafa Ozguven & Chong Yan Gao & Mohamed Yacine Si Tayeb, 2021. "The Utilization of Autoregressive Forecasting Models in Strategic Management," International Journal of Science and Business, IJSAB International, vol. 5(7), pages 170-185.
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Keywords
NARX-RNN; Daily inflow forecasting; Dez; Reservoir; Lead-time;All these keywords.
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