摘要
使用SVM预测热带气旋路径,并针对以往的预报方法中只考虑某一个时刻状态信息的缺点,提出用形状指数来表达热带气旋路径的弯曲程度,并结合其他密切相关因子,对热带气旋路径进行预报,取得了一定的效果。
Contrasting the previous prediction methods shortcomings that only consider one moment of state information,Support Vector Machine(SVM)was used as prediction of tropical cyclone track.And a shape index method was proposed to describe TC path which can be seen as a measure of curvature.Combined with other closely related factors to predict the path of tropical cyclones,they achieved certain results.
出处
《气象研究与应用》
2010年第4期61-64,共4页
Journal of Meteorological Research and Application
关键词
热带气旋
形状指数
支持向量机
路径预测
Tropical Cyclone
Shape Index
Support Vector Machine(SVM)
Path Prediction