计算机技术与发展Issue(4)：221-225,5.DOI:10.3969/j.issn.1673-629X.2013.04.054
粗糙集和神经网络在数据融合中的应用研究
Application Study of Data Fusion Using Rough Set and Neural Network
摘要
Abstract
The difficulties of fusing multi-sensor data lie in the switching of the state of sensor clusters. That is,at a given moment which direction the sensor should fuse data into. First the rough set is used for acquisition of knowledge. The typical clustering distributions of 54 sensors within one day are regarded as sample room for the decision-making table of the "data-fusion distribution". Next,based on rough set of method of simplified knowledge,for one month date,remove redundant properties and samples. Then,the neural network is used to analyze clustering. And finally the patterns of multi-sensor data fusion distribution are formed. The model is proved experimental-ly to be efficient in classification and rapid in sensor clustering distribution decision.关键词
粗糙集/神经网络/数据融合/传感器网络/TossimKey words
rough set/neural network/data fusion/sensor network/Tossim分类
信息技术与安全科学引用本文复制引用
卜益民,陈小惠..粗糙集和神经网络在数据融合中的应用研究[J].计算机技术与发展,2013,(4):221-225,5.基金项目
国家自然科学基金资助项目(61104216) （61104216）
江苏省科技支撑计划项目(BE2011843) （BE2011843）
南京邮电大学人才引进项目 （）
