A Two-Step Ahead Dynamic Recurrent Neural Network for Streamflow Forecasting
碩士 === 國立臺灣大學 === 生物環境系統工程學系暨研究所 === 90 === Most of the traditional physical and conceptual models of streamflow forecasting focus on one-step ahead forecasting. If we can extend the predictive step and improve the accuracy of the forecasting model, it would help water resource planner for providing...
Main Authors: | Yen-Ming Chiang, 江衍銘 |
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Other Authors: | Fi-John Chang |
Format: | Others |
Language: | zh-TW |
Published: |
2002
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Online Access: | http://ndltd.ncl.edu.tw/handle/11264297960098146403 |
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