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Oscillatory Behavior in An Inertial Six-Neuron Network Model with Delays

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Intelligent Computing Theories and Methodologies (ICIC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9225))

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Abstract

This paper discusses the existence of oscillatory solutions in an inertial six neurons BAM neural network model with delays. By means of Chafee’s criterion of limit cycle, some sufficient conditions to ensure the existence of oscillatory solutions for this delayed system are provided. Computer simulations verify the correctness of the results.

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Acknowledgement

This research work was supported by NNSF of China (11361010), and Scientific Research Foundation of the Education Department of Guangxi Zhuang Autonomous Region (N0. KY2015ZD103)

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Authors and Affiliations

  1. College of Mathematical Science, Guangxi Normal University, Guilin, 541004, Guangxi, People’s Republic of China

    Chunhua Feng

  2. School of Science, Jimei University, Xiamen, 361021, Fujian, People’s Republic of China

    Zhenkun Huang

Authors
  1. Chunhua Feng
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  2. Zhenkun Huang
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Corresponding author

Correspondence to Zhenkun Huang .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Polytecnic of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, New South Wales, Australia

    Prashan Premaratne

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© 2015 Springer International Publishing Switzerland

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Feng, C., Huang, Z. (2015). Oscillatory Behavior in An Inertial Six-Neuron Network Model with Delays. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9225. Springer, Cham. https://doi.org/10.1007/978-3-319-22180-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-22180-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22179-3

  • Online ISBN: 978-3-319-22180-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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