期刊論文
| 學年 | 93 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2005-01-01 |
| 作品名稱 | Fuzzy exemplar-based inference system for flood forecasting |
| 作品名稱（其他語言） | |
| 著者 | 張麗秋; Chang, Li-chiu; Chang, Fi-john; Tsai, Ya-hsin |
| 單位 | 淡江大學水資源及環境工程學系 |
| 出版者 | American Geophysical Union (AGU) |
| 著錄名稱、卷期、頁數 | Water resources research 41(2), pp.1-12 |
| 摘要 | [1] Fuzzy inference systems have been successfully applied in numerous fields since they can effectively model human knowledge and adaptively make decision processes. In this paper we present an innovative fuzzy exemplar-based inference system (FEIS) for flood forecasting. The FEIS is based on a fuzzy inference system, with its clustering ability enhanced through the Exemplar-Aided Constructor of Hyper-rectangles algorithm, which can effectively simulate human intelligence by learning from experience. The FEIS exhibits three important properties: knowledge extraction from numerical data, knowledge (rule) modeling, and fuzzy reasoning processes. The proposed model is employed to predict streamflow 1 hour ahead during flood events in the Lan-Yang River, Taiwan. For the purpose of comparison the back propagation neural network (BPNN) is also performed. The results show that the FEIS model performs better than the BPNN. The FEIS provides a great learning ability, robustness, and high predictive accuracy for flood forecasting. |
| 關鍵字 | |
| 語言 | en_US |
| ISSN | 0043-1397 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/44608 ) |