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
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;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885551
