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Based on several kinds of numerical prediction products and RJTD products, the members of the European Central typhoon ensemble forecast are sorted by the optimal forecast track method, and the first best T prediction members are formed as a factor matrix X. Furthermore, under the same independent sample with the same years, the cross modeling prediction has been conducted for the factor matrix X using the intelligent computing methods of generalized regression neural network, the regression random forest algorithm and the partial least squares algorithm.    >">Read the article >>





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