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A New Result of Periodic Oscillations for a Six-Neuron BAM Neural Network Model

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Book cover Emerging Intelligent Computing Technology and Applications (ICIC 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 375))

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Abstract

This paper discusses the existence of periodic solutions in a six neurons BAM network model. By means of Chafee’s criterion of limit cycle, some sufficient conditions to guarantee the existence of periodic solutions for the system are provided. Computer simulations verify the correctness of the results.

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References

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Author information

Authors and Affiliations

  1. College of Mathematical Science, Guangxi Normal University, Guilin, Guangxi, P.R. China, 541004

    Chunhua Feng

  2. Department of Mathematics, Hechi University, Yizhou, Guangxi, P.R. China, 546300

    Yuanhua Lin

Authors
  1. Chunhua Feng
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  2. Yuanhua Lin
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, 208 016, Kanpur, India

    Phalguni Gupta

  3. Tsinghua University, Beijing, China

    Ling Wang

  4. Department of Biotechnology, Indian Institute of Technology Madras, 600 036, Chennai, Tamilnadu, India

    Michael Gromiha

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© 2013 Springer-Verlag Berlin Heidelberg

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Feng, C., Lin, Y. (2013). A New Result of Periodic Oscillations for a Six-Neuron BAM Neural Network Model. In: Huang, DS., Gupta, P., Wang, L., Gromiha, M. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2013. Communications in Computer and Information Science, vol 375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39678-6_4

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  • DOI: https://doi.org/10.1007/978-3-642-39678-6_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39677-9

  • Online ISBN: 978-3-642-39678-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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