The typhoon data predict and research based on the SVR
Abstract: In order to predict the related attribute values of the typhoon data affecting factors from the aspect of the intrinsic relationship of the center wind force, maximum velocity of wind and center airpressure, which is based on structural risk minimization criteria of the support vector regression (SVR) method to establish the wind force and speed - center air SVR prediction model, selecting the appropriate parameters and kernel function, and forecast the center pressure of the typhoon, the proposed method can get lower the relative error, The actual results are quite satisfactory accuracy and meet forecast requirements
typhoon support vector regression machine (SVR ) forecast
MAOXue-min ZHANG Ying
School of Management, Hefei University of Technology, Hefei 230009, China
国际会议
长春
英文
430-433
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）