基于分形和支持向量机的雷雨预测研究
Forecasting of Thunderstorm Based on Fractal and SVM
随着气象预测的发展,支持向量机也逐渐被进入到长期的气象预测中。由于影响雷雨的气象因素本身的较为复杂且相互影响,在一定程度上影响了预测结果的客观性。在这种情况下,则需要紧密结合我国气象预测的实际情况,使雷雨预测方法更加具体化,由原来的定性分析实现定量分析。因此针对分形理论在复杂现象面前表现出的生命力,首先通过分型理论来定量分析出影响因子,作为支持向量机的输入节点,再利用支持向量机进行预测,实现将分形理论和支持向量机相结合共同用于雷雨预测的研究。
With the development of weather forecast, Support Vector Machine(SVM) was applied in the long-term forecast gradually. weather forces that influence on the thunderstorm are complicated,so to some extend,it will effect the objectivity of the result of forecast. In this condition,we need to inosculate the actuality of weather forecast,to materialize the method of forecast.in other words, turning the qualitative analysis to the quantitative analysis. In the light of Fractal theory ‘s formidable vitality facing the complicated phenomena,in this paper, we contruct the model of forecasting of weather forecast based on Fractal theory and Support Vector Machine. Firstly getting the effect factors as the input of SVM’s node via Fractal theory ,then we make the forecasting based on SVM.
吉平、石摄、赵明、郭静
大气科学(气象学)数学
分形支持向量机预测
FractalSupport Vector MachineForecasting
吉平,石摄,赵明,郭静.基于分形和支持向量机的雷雨预测研究[EB/OL].(2009-12-22)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200912-809.点此复制
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