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Chaotic Cellular Neural Networks with Negative Self-feedback

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Artificial Intelligence and Soft Computing – ICAISC 2006 (ICAISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4029))

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Abstract

We propose a new model of Chaotic Cellular Neural Networks (C-CNNs) by introducing negative self-feedback into the Euler approximation of the continuous CNNs. According to our simulation result for the single neuron model, this new C-CNN model has richer and more flexible dynamics, compared to the conventional CNN with only stable dynamics. The hardware implementation of this new network may be important for solving a wide variety of combinatorial optimization problems.

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Author information

Authors and Affiliations

  1. College of Information Engineering, Xiangtan University, Xiangtan, Hunan, China

    Wen Liu & Lipo Wang

  2. School of Electrical and Electronic Engineering, Nanyang Technology University, Block S1, 50 Nanyang Avenue, 639798, Singapore

    Wen Liu, Haixiang Shi, Lipo Wang & Jacek M. Zurada

  3. Computational Intelligence Laboratory/Lutz Hall, Room 439 Electrical and Computer Engineering Department, University of Louisville, Louisville, KY, 40292, USA

    Jacek M. Zurada

Authors
  1. Wen Liu
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  2. Haixiang Shi
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  3. Lipo Wang
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  4. Jacek M. Zurada
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Berkeley Initiative in Soft Computing (BISC), University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Żurada

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© 2006 Springer-Verlag Berlin Heidelberg

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Liu, W., Shi, H., Wang, L., Zurada, J.M. (2006). Chaotic Cellular Neural Networks with Negative Self-feedback. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_8

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  • DOI: https://doi.org/10.1007/11785231_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35748-3

  • Online ISBN: 978-3-540-35750-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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