文章基本信息

标题：Multi-source Information Fusion Based on Data Driven
本地全文：下载
作者：Zhang, Xin ; Yang, Li ; Zhang, Yan 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2011
卷号：6
期号：6
页码：1125-1132
DOI：10.4304/jsw.6.6.1125-1132
语种：English
出版社：Academy Publisher
摘要：Take data driven method as the theoretical basis, study multi-source information fusion technology. Using online and off-line data of the fusion system, does not rely on system's mathematical model, has avoided question about system modeling by mechanism. Uses principal component analysis method, rough set theory, Support Vector Machine(SVM) and so on, three method fusions and supplementary, through information processing and feature extraction to system's data-in, catches the most important information to lower dimensional space, realizes knowledge reduction. From data level, characteristic level, decision-making three levels realize information fusion. Through the fusion example to the data which the fire surveys to confirming, it indicated that this method reduced computational complexity, reduced information loss in the fusion process, and enhanced the fusion accuracy.
关键词：Information fusion;Data driven;Principal component analytic method;rough set theory;Support Vector Machine(SVM))