The fusion of numerical and linguistic information by the use of a fuzzy neural network

被引：0
|
作者：
Rong, LL [1 ]
Wang, ZT [1 ]
机构：
[1] Dalian Univ Technol, Inst Syst Engn, Dalian 116024, Peoples R China
来源：
FUSION'98: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MULTISOURCE-MULTISENSOR INFORMATION FUSION, VOLS 1 AND 2 | 1998年
关键词：
fusion; fuzzy neural network; linguistic information; membership function; back-propagation learning method;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an algorithm of the fusion of numerical and linguistic information is proposed A fuzzy-neural network (FNN) is used to realize the fusion algorithm. Through this FNN, the fuzzy rules are extracted from both the numerical samples and linguistic samples directly. The Back-Propagation learning method is used to improve the accuracy of the fuzzy inference system. The fuzzy rules obtained can describe the characteristics of the samples with high accuracy. The effectiveness of the proposed algorithm is verified through the simulation.
引用
收藏
页码：689 / 694
页数：6
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