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A New Approach in Stability Analysis of Hopfield-Type Neural Networks: Almost Stability

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Engineering Applications of Neural Networks (EANN 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 311))

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Abstract

In this paper,we presented a new stability concept for neural networks: almost stability. The necessary and sufficient conditions of almost stability of the Hopfield-type neural networks were proposed. Examples were also given to our conditions.

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Author information

Authors and Affiliations

  1. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, 710049, China

    Kaiming Wang

  2. School of Science, Chang’an University, Xi’an, 710064, China

    Kaiming Wang

Authors
  1. Kaiming Wang
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Editor information

Editors and Affiliations

  1. Coventry University, Priory Street,, CV1 5FB, Coventry, UK

    Chrisina Jayne

  2. University of Lincoln, LN6 7TS, Lincoln, UK

    Shigang Yue

  3. University of Thrace, 193 Pandazidou st., 68200 N, Orestiada, Greece

    Lazaros Iliadis

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© 2012 Springer-Verlag Berlin Heidelberg

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Wang, K. (2012). A New Approach in Stability Analysis of Hopfield-Type Neural Networks: Almost Stability. In: Jayne, C., Yue, S., Iliadis, L. (eds) Engineering Applications of Neural Networks. EANN 2012. Communications in Computer and Information Science, vol 311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32909-8_40

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  • DOI: https://doi.org/10.1007/978-3-642-32909-8_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32908-1

  • Online ISBN: 978-3-642-32909-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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