CAJ | 학술논문

自然灾害已严重威胁人们的生命财产安全，影响天气变化的因素多而复杂，致使灾害天气的准确预测预报相当困难。本文从局部区域出发，应用多组合器协同分析方法，探讨局域环境下的气象数据挖掘问题，提出了一个多组合器协同分析模型，实现了各基分类器和组合器的建模，通过对气象数据的实证性分析与实验，验证了本模型有较高的分类准确率和快速分类能力。
자연재해이엄중위협인문적생명재산안전，영향천기변화적인소다이복잡，치사재해천기적준학예측예보상당곤난。본문종국부구역출발，응용다조합기협동분석방법，탐토국역배경하적기상수거알굴문제，제출료일개다조합기협동분석모형，실현료각기분류기화조합기적건모，통과대기상수거적실증성분석여실험，험증료본모형유교고적분류준학솔화쾌속분류능력。
Natural disasters injure people and damage property .Because the weather is related to many factors, it is difficult to forecast accurately the disastrous weather .Based on multi-classifiers, a coopera-tive data mining method is proposed .A cooperative classification model is designed and implemented , which is composed of base classifiers and an integration classifier .The model is used to mine local area meteorological data .Experimental results show that the model has high classification accuracy and effi-cient ability .