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Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

Accurate runoff forecasting plays a key role in catchment water management and water resources system planning. To improve the prediction accuracy, one needs to strive to develop a reliable and accurate forecasting model for streamflow. In this study, the novel combination of the adaptive neuro-fuzz...

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書誌詳細
主要な著者:	Mohammadi, Babak, Linh, Nguyen Thi Thuy, Pham, Quoc Bao, Ahmed, Ali Najah, Vojtekova, Jana, Guan, Yiqing, Abba, S., El-Shafie, Ahmed
フォーマット:	論文
出版事項:	Taylor & Francis 2020
主題:	TA Engineering (General). Civil engineering (General)
オンライン･アクセス:	http://eprints.um.edu.my/37621/
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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