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Paraconsistent Artificial Neural Networks and Delta, Theta, Alpha, and Beta Bands Detection

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Advances in Reasoning-Based Image Processing Intelligent Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 29))

Abstract

In this work we present a study of brain EEG waves – delta, theta, alpha, and gamma bands employing a new ANN based on Paraconsistent Annotated Evidential Logic E( which is capable of manipulating concepts like impreciseness, inconsistency, and paracompleteness in a nontrivial manner. We present the Paraconsistent Artificial Neural Network – PANN with some detail and discuss some applications.

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Author information

Authors and Affiliations

  1. Graduate Program in Production Engineering, ICET - Paulista University, R. Dr. Bacelar, 1212, CEP 04026-002, São Paulo, SP, Brazil

    Jair Minoro Abe

  2. Institute For Advanced Studies, University of São Paulo, São Paulo, Brazil

    Jair Minoro Abe & Helder F. S. Lopes

  3. School of Human Science and Environment/H.S.E., University of Hyogo, Hyogo, Japan

    Kazumi Nakamatsu

Authors
  1. Jair Minoro Abe
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  2. Helder F. S. Lopes
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  3. Kazumi Nakamatsu
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Corresponding author

Correspondence to Jair Minoro Abe .

Editor information

Editors and Affiliations

  1. Technical University of Sofia, Drujba 2, Sofia, 1582, Bulgaria

    Roumen Kountchev

  2. University of Hyogo, Nakamachi-dori 3-1-3-901, Kobe, 650-0027, Japan

    Kazumi Nakamatsu

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Abe, J.M., Lopes, H.F.S., Nakamatsu, K. (2012). Paraconsistent Artificial Neural Networks and Delta, Theta, Alpha, and Beta Bands Detection. In: Kountchev, R., Nakamatsu, K. (eds) Advances in Reasoning-Based Image Processing Intelligent Systems. Intelligent Systems Reference Library, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24693-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-24693-7_11

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  • Print ISBN: 978-3-642-24692-0

  • Online ISBN: 978-3-642-24693-7

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