Vague neural network controller and its applications

Authors:
Yibiao Zhao;Rui Fang;Shun Zhang;Siwei Luo
Affiliations:
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China;School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China;School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
Venue:
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Year:
2006

Citing 6
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Abstract

Fuzzy neural network is a promising intelligence system that combines the artificial neural network and fuzzy logic. However fuzzy neural network has its shortages: fuzzy membership function has only one single value, it cannot get more reasonable classified and cognizable results. While, vague sets theory is a generalization of fuzzy sets theory, its’ distinguishing feature is having a truth-membership function and a false-membership function. It presents both of the opposite factors to deal with nonlinearities and uncertain of control system in the control fields., this paper has been accomplished the controller of vague neural networks based on the vague set theory, this controller combines the advantage of vague set in handling uncertain information and the capability of artificial neural networks in learning process. Moreover, in the application of inverted pendulum, the character of vague neural network controller was expressed.