Cyclone Intensity Prediction Method Based on Improved Genetic Algorithm and Aprior Algorithm
In order to improve the accuracy of cyclone intensity prediction,GA-MSApriori algorithm is proposed based on the genetic algorithm and Apriori algorithm with multiple minimum supports.The sliding window is used to process the historical cy-clone monitoring data.Taking the processed data that can describe the range and change of the element value in the past time as the input data,and output the cyclone intensity prediction rules with high prediction accuracy finally.Compared with the traditional pre-diction method,the prediction accuracy is improved by 6%～10%.
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