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The Application of Fuzzily Neural Network to Picture Recognition of Typhoon Clouds

Yu Bo;Feng Mingxue;Chen Biyun(Meteorological Observatory of Jiangsu Province,Nanjing 210008)  
Using the method of maths morphology,the area-spliting of typhoon clouds is conducted,and the possibility density of grain features of typhoon clouds is statistically analysed.Combined with the method of fuzzily discriminant and multi-level neural network, the typhoon clouds' picture recognition of GMS satellite image is studied. The result suggests thatthe method in successful.
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