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On Designing New Structures with Emergent Computing Properties

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Advances in Neural Networks - ISNN 2017 (ISNN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10261))

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Abstract

In this paper we continue the analysis of some structures with potentialities for Artificial Intelligence (AI) devices. We follow the suggestions of J.J. Hopfield about ensuring a sufficiently large number of equilibria which need to be asymptotically stable in some sense. Viewing AI devices as repetitive structures, we focus on those devices ensuring some stability properties of the equilibria from the design stage, pointing out that the so-called hyperstable blocks (in particular, the triplet connection) are suitable for this purpose. At the same time the possible number and localization of equilibria as well as their stability are discussed.

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References

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Author information

Authors and Affiliations

  1. Department of Automation and Electronics, University of Craiova, A.I. Cuza Street, No. 13, 200585, Craiova, Romania

    Daniela Danciu & Vladimir Răsvan

Authors
  1. Daniela Danciu
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  2. Vladimir Răsvan
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Corresponding author

Correspondence to Daniela Danciu .

Editor information

Editors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Fengyu Cong

  2. City University of Hong Kong, Kowloon Tong, Hong Kong

    Andrew Leung

  3. Chinese Academy of Sciences, Beijing, China

    Qinglai Wei

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Danciu, D., Răsvan, V. (2017). On Designing New Structures with Emergent Computing Properties. In: Cong, F., Leung, A., Wei, Q. (eds) Advances in Neural Networks - ISNN 2017. ISNN 2017. Lecture Notes in Computer Science(), vol 10261. Springer, Cham. https://doi.org/10.1007/978-3-319-59072-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-59072-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59071-4

  • Online ISBN: 978-3-319-59072-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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