DocumentCode
3029777
Title
The NFE model and its approximation
Author
Hua Zong ; Lijia Chen ; Jiaran Qi
Author_Institution
Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
3059
Lastpage
3063
Abstract
A tightly-coupled NFE model combined with Neural network, Fuzzy reasoning and Expert system is constructed in this paper based on a neural network-fuzzy reasoning model by introducing the expert system technology. The structure and modeling process of the generalized model are presented, and it is derived in theory that this model possesses approximation property and can be regarded as a category of complete information fusion model.
Keywords
expert systems; fuzzy reasoning; neural nets; complete information fusion model; expert system technology; neural network-fuzzy reasoning model; tightly-coupled NFE model; Expert systems; Fuzzy reasoning; Input variables; Least squares approximations; Manganese; Neural networks; NFE model; approximation; expert system; fuzzy reasoning; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location
Shengyang
Print_ISBN
978-1-4799-2564-3
Type
conf
DOI
10.1109/MEC.2013.6885551
Filename
6885551
Link To Document