ONTOLOGY-BASED MULTIMODE INFORMATION FUSION METHOD

摘要：

In order to better use with massive, heterogeneous, multimode and other characteristics of information, eliminate redundancy, the formation of the system environment is relatively complete and consistent description. It can ensure rapid and correct decision-making, planning and reflection. In this paper, a multimode information fusion method is proposed aimed at the shortcomings of hierarchical structure. Different databases and data files between different formats can be shielded, while the fuzzy neural network algorithm, make text, images and video seamless fusion by continuous learning. Experimental results show that the method of this paper is better than exist on fusion algorithms at the right rate, leakage pick up rate and false acceptance rata.

关键词： ontology multimode information,information fusion fuzzy neural network

作者: Chunjiang Zhao Huarui Wu Ronghua Gao

作者单位: National Engineering Research Center for Center for Information Technology in Agriculture, Beijing, China Key Laboratory for Information Technologies in Agriculture, Ministry of Agriculture, Beijing, China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems(2011年第一届IEEE云计算与智能系统国际会议 IEEE CCIS2011)

会议地点: 北京

会议语种:英文

页码: 55-59

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）