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Chaotic Cases in a Two-Neuron Discrete Neural Network

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Advances in Artificial Intelligence and Soft Computing (MICAI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9413))

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Abstract

We explore different cases of chaotic behavior in a two-neuron Discrete Time Recurrent Neural Network and found, until now, three cases where chaos is present in different forms. We describe how these cases of chaos are produced in a qualitative way.

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Authors and Affiliations

  1. Universidad Autónoma Metropolitana – Cuajimalpa, Mexico City, Mexico

    Jorge Cervantes-Ojeda & María Gómez-Fuentes

Authors
  1. Jorge Cervantes-Ojeda
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  2. María Gómez-Fuentes
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Corresponding author

Correspondence to Jorge Cervantes-Ojeda .

Editor information

Editors and Affiliations

  1. Instituto Politécnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico

    Grigori Sidorov

  2. Facultad de ciencias, Universidad Autónoma Nacional, México, Distrito Federal, Mexico

    Sofía N. Galicia-Haro

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Cervantes-Ojeda, J., Gómez-Fuentes, M. (2015). Chaotic Cases in a Two-Neuron Discrete Neural Network. In: Sidorov, G., Galicia-Haro, S. (eds) Advances in Artificial Intelligence and Soft Computing. MICAI 2015. Lecture Notes in Computer Science(), vol 9413. Springer, Cham. https://doi.org/10.1007/978-3-319-27060-9_26

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  • DOI: https://doi.org/10.1007/978-3-319-27060-9_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27059-3

  • Online ISBN: 978-3-319-27060-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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