A new fuzzy ART neural network based on dual competition and resonance technique

Authors:
Lei Zhang;Guoyou Wang;Wentao Wang
Affiliations:
Lab. For Biometric and Medical Image Processing, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science & Technology, Wuhan, China;Lab. For Biometric and Medical Image Processing, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science & Technology, Wuhan, China;Lab. For Biometric and Medical Image Processing, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science & Technology, Wuhan, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Year:
2006

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Abstract

A new Fuzzy ART neural network model based on dual competition and resonance technique is proposed. This new model takes the competition and resonance method of the input nodes into the output nodes, putting the input nodes and output nodes competition and resonance together, solves the over-segmentation of the FART algorithm due to the vigilance’s increase in the application of the image segmentation. Experimental results have shown that compared with the original FART, this algorithm has a better segmentation and antinoise performance.