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Support vector machine and neural network based model for monthly stream flow forecasting

Accurate forecasting of streamflow is desired in many water resources planning and management, flood prevention and design development. In this study, the accuracy of two hybrid model, support vector machine - particle swarm optimization (SVM-PSO) and bat algorithm - backpropagation neural network (...

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書誌詳細
主要な著者:	Zaini, N., Malek, M.A., Yusoff, M., Osmi, S.F.C., Mardi, N.H., Norhisham, S.
フォーマット:	論文
言語:	English
出版事項:	2019
オンライン･アクセス:	http://dspace.uniten.edu.my/jspui/handle/123456789/11726
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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