NDLI: Multi sensor data fusion method based on fuzzy neural network

Content Provider	IEEE Xplore Digital Library
Author	Youzhu Ling Xiaoguang Xu Lina Shen Jingmeng Liu
Copyright Year	2008
Description	Author affiliation: Key Lab. of Electr. & Control, Anhui Univ. of Technol. & Sci., Wuhu (Youzhu Ling; Xiaoguang Xu; Lina Shen)
Abstract	With the uncertainty of the multi sensor data of the fuzzy neural network fusion, the measure data from sensors is used to as the input of the fuzzy neural network and then is fuzzed. Next the data is analyzed and disposed by the neural network rule. Finally it is output after defuzzification. Confronting with the input fuzzification with uncertain membership function, we adopt the golden partition method to decide the initial center and width of membership functions of the fuzzification layer. The way of the model fuzzification and the improved BP network study rule is introduced to the network judging rule, and the judging result is output after defuzzification according to the weight rule. The article gives a general method of the multi sensor data gaining based on fuzzy neural network. The structure of network is rational and has rather quick training speed. It also has good generalization ability.
Starting Page	153
Ending Page	158
File Size	266852
Page Count	6
File Format	PDF
ISBN	9781424421701
ISSN	19354576
DOI	10.1109/INDIN.2008.4618084
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-13
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	data fusion rule neural network fuzzy
Content Type	Text
Resource Type	Article

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