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The Perfect Recalling Rate of Morphological Associative Memory

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Neural Information Processing (ICONIP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4232))

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Abstract

Morphological associative memory is made up by replacing the sum of input signals by maximum or minimum operation. Ritter presented a procedure of associative memory, which utilizes associative memory matrix M and W sophisticatedly. This paper treats the recalling rate of associative memory. At first, conditions of perfect recalling are given. Then the perfect recalling rate of associative memory is derived based on these conditions. The formula of perfect recalling rate found out to be equal to the perfect recalling rate obtained by experiments.

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References

  1. Ritter, G.X., Sussner, P.: Morphological Associative Memories. IEEE Transaction on Neural Networks 9(2) (1998)

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  2. Ritter, G.X., Sussner, P.: An Introduction to Morphological Neural Networks. In: IEEE proceedings of ICPR 1996 (1996)

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  3. Ida, T., Ueda, S., Kashima, M., Fuchida, T., Murashima, S.: On a method to decide Kernel Patterns of Morphologial Associative Memory. The Transaction of the IEICE Vol. J83-D-II(5) (2000)

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Author information

Authors and Affiliations

  1. Kagoshima University, Korimoto 1–2–3, Kagoshima, Japan

    Ke Zhang & Sadayuki Murashima

Authors
  1. Ke Zhang
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  2. Sadayuki Murashima
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, The Chinese Univ. of Hong Kong, Shatin, N.T., Hong Kong

    Irwin King

  2. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  3. The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

    Lai-Wan Chan

  4. Department of Computer Science and Engineering & Center for Cognitive Science, The Ohio State University, OH 43210, Columbus

    DeLiang Wang

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhang, K., Murashima, S. (2006). The Perfect Recalling Rate of Morphological Associative Memory. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893028_60

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  • DOI: https://doi.org/10.1007/11893028_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46479-2

  • Online ISBN: 978-3-540-46480-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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