A Novel Fuzzy Neural Network for Pattern Recognition

Neural network system is a self-learning adaptive system, and it is easy to associate, synthesize and generalize with its properties of fault-tolerance and robustness. Therefore, it is available to process the pattern information, which is hard to describe with language. In consideration of the shor...

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Bibliographic Details
Main Authors: Yibiao Zhao, Song Wang, Shun Zhang, Jian Pu, Rui Fang
Format: Conference Proceeding
Language:English
Subjects:
Adaptive systems
Fault tolerant systems
Fuzzy neural network
Fuzzy neural networks
Fuzzy set theory
Information proceeding method
Network synthesis
Neural networks
Neurons
Pattern recognition
Robustness
Uncertain systems
Vague set
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Summary:Neural network system is a self-learning adaptive system, and it is easy to associate, synthesize and generalize with its properties of fault-tolerance and robustness. Therefore, it is available to process the pattern information, which is hard to describe with language. In consideration of the shortage of fuzzy theory and the advantage of vague set, that is fuzzy membership function has only one single value; it cannot get more reasonable classified and cognizable results. While vague sets' distinguishing feature is having two values which present both of the opposite factors to deal with nonlinearities and uncertain system. In this paper, we define new fuzzy neurons and propose the structure of vague neural network (VNN), and then we expounded the recognition method based on it
DOI:10.1109/COGINF.2006.365508