Recognition Model of Hail Cloud Based on Matter Elements and Extension Sets and Its Results Verification
Li Zuo yong, Lei Lin, Deng Min · Gaoyuan qixiang · 2001
Hail cloud recognition is a pattern recognition problem of multiparameter. The recognition result of hail cloud based on single parameter is always noncompatible. The basic thinking of matter clements and extension set was used for changing the noncompatible problem into compatible problem. On the basis of designing the classical matter elements matrixes and the extensional matter element matrixexes of hail clouds and thunderstorm clouds, the recognition model of hail cloud is presented according to the magnitude of correlation degrees calculated between the clouds to be recognized and the two kinds of sample clouds. The accuracy of hail cloud recognition in Chengdu by this method is over 85%.