Image recognition using synergetic neural network

Authors:
Shuiping Gou;Licheng Jiao
Affiliations:
Institute of Intelligent Information Processing Xidian University, Xi'an, Shaanxi, China;Institute of Intelligent Information Processing Xidian University, Xi'an, Shaanxi, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

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Abstract

A method for texture image recognition using Synergetic Neural Network (SNN) [1] technique is presented. The method combines Immune Clonal Strategy (ICS) [2] with fuzzy clustering to train the prototype vectors in SNN, which is used to classify object images into groups. Simulation results show the proposed algorithm not only reduces complexity of computing but also improves the image recognition performance of SNN. Moreover, the discussion has been made of multi-class recognition using SNN in this paper.