The major purpose of this study was to develop a predictive model of the yearly frequency of typhoon.Based on historical data, a predictive model of yearly frequency of typhoon that landed in South China was proposed during the season of typhoon using the basic thinking and its algorithm of Pro.jcction Pursuit Regression (PPR). The results show that the predictive precision of PPR model is much better than that of stepwise regression (SR) model.
Li Zuoyong, Deng Xinmin, Sang Huamin. PREDICTIVE MODEL ON THE YEARLY FREQUENCY OF TYPHOON LANDING IN SOUTH OF CHINA[J]. Journal of Tropical Meteorology, 1998, 4(2): 220.
Li Zuoyong, Deng Xinmin, Sang Huamin. PREDICTIVE MODEL ON THE YEARLY FREQUENCY OF TYPHOON LANDING IN SOUTH OF CHINA[J]. Journal of Tropical Meteorology, 1998, 4(2): 220.
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