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International Work-Conference on Artificial Neural Networks

IWANN 2017: Advances in Computational Intelligence pp 351–361Cite as

Dynamics of Quaternionic Hopfield Type Neural Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10305))

Abstract

In this research paper, a novel ordinary quaternionic hopfield type network is proposed and the associated convergence theorem is proved. Also, a novel structured quaternionic recurrent hopfield network is proposed. It is proved that in the parallel mode of operation, such a network converges to a cycle of length 4.

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Author information

Authors and Affiliations

  1. International Institute of Information Technology, Hyderabad, India

    Rama Murthy Garimella & Rayala Anil

Authors
  1. Rama Murthy Garimella
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  2. Rayala Anil
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Corresponding author

Correspondence to Rama Murthy Garimella .

Editor information

Editors and Affiliations

  1. Universidad de Granada , Granada, Spain

    Ignacio Rojas

  2. University of Malaga , Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Vilanova i la Geltrú, Barcelona, Spain

    Andreu Catala

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Garimella, R.M., Anil, R. (2017). Dynamics of Quaternionic Hopfield Type Neural Networks. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10305. Springer, Cham. https://doi.org/10.1007/978-3-319-59153-7_31

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  • DOI: https://doi.org/10.1007/978-3-319-59153-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59152-0

  • Online ISBN: 978-3-319-59153-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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