DocumentCode
2973275
Title
A hybrid neural network using fuzzy reference points as hidden units
Author
Huang, Jingwei ; Wang, Zhongtuo
Author_Institution
Sch. of Econ. & Manage., Tsinghua Univ., Beijing, China
Volume
3
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
3004
Abstract
In this paper, a hybrid multilayer feedforward neural network in which hidden units are defined as fuzzy reference points, and a general feedback learning method are presented. This model has been used in a DSS. Results of an experiment on process identification are given. The proposed model is able to overcome some limitations of conventional multilayer feedforward neural networks applied in expert systems.
Keywords
feedback; feedforward neural nets; fuzzy logic; identification; learning (artificial intelligence); multilayer perceptrons; DSS; expert systems; fuzzy reference points; general feedback learning method; hidden units; hybrid multilayer feedforward neural network; process identification; Decision support systems; Expert systems; Feedforward neural networks; Fuzzy neural networks; Fuzzy sets; Multi-layer neural network; Neural networks; Neurofeedback; Power generation economics; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.714354
Filename
714354
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