Neural network water bloom short time forecast based on evidence theory

Xiaoyi Wang, Zaiwen Liu, Lifeng Cui, Xiaofeng Lian, Qiaomei Wu, Siying Lv · 2008

Analyzing the characters of water-bloom eruption, one effective model on weightings attribute of forecasting water-bloom based on D-S evidence theory has been proposed. After pre-treating forecast index data, sets up water -bloom short-time forecast model based on Neural network, which improves forecast precision of water-bloom, through simulation and testing, the result shows its affectivity and superiority.

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