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Image Recognition Using Synergetic Neural Network

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3497))

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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.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Gou, S., Jiao, L. (2005). Image Recognition Using Synergetic Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_46

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  • DOI: https://doi.org/10.1007/11427445_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25913-8

  • Online ISBN: 978-3-540-32067-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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