计算机与数字工程2024，Vol.52Issue(1)：99-104,120,7.DOI:10.3969/j.issn.1672-9722.2024.01.015
基于改进遗传算法和Apriori算法的气旋强度预测方法
Cyclone Intensity Prediction Method Based on Improved Genetic Algorithm and Aprior Algorithm
摘要
Abstract
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%.关键词
气旋强度/遗传算法/Apriori/GA-MSAprioriKey words
cyclone intensity/genetic algorithm/Apriori/GA-MSApriori分类
信息技术与安全科学引用本文复制引用
刘健,江天乐..基于改进遗传算法和Apriori算法的气旋强度预测方法[J].计算机与数字工程,2024,52(1):99-104,120,7.基金项目
国家科技重大专项项目(编号:2016YFC1400304)资助. （编号:2016YFC1400304）
