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Real-Valued Pattern Recall by Associative Memory

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Advances in Artificial Intelligence – IBERAMIA 2004 (IBERAMIA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3315))

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Abstract

In this note, we introduce an associative memory useful to recall realvalued patterns altered with mixed noise (additive and subtractive). Numerical and real examples are given to show the effectiveness of the proposal. Conditions under which the proposed memories are able to recall patterns either from the fundamental set of patterns and from distorted versions of them are also given.

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Authors and Affiliations

  1. Centro de Investigación en Computación-IPN, Av. Juan de Dios Bátiz, esquina con Miguel Othón de Mendizábal, Mexico City, 07738, Mexico

    Humberto Sossa, Ricardo Barrón & José L. Oropeza

Authors
  1. Humberto Sossa
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  2. Ricardo Barrón
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  3. José L. Oropeza
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Editor information

Editors and Affiliations

  1. Laboratorio Nacional de Informatica Avanzada, A.C. Lania, Rebsamen 80, Col. Centro, 91000, Xalapa, Veracruz, Mexico

    Christian Lemaître

  2. Department of Computer Science, National Institute of Astrophysics, Optics and Electronics (INAOE), Luis E. Erro 1, 72840, Sta. Maria Tonantzintla, Puebla, Mexico

    Carlos A. Reyes

  3. Computer Science Department, National Institute of Astrophysics, Optics and Electronics, Luis Enrique Erro 1, 72840, Tonantzintla, México

    Jesús A. González

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© 2004 Springer-Verlag Berlin Heidelberg

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Sossa, H., Barrón, R., Oropeza, J.L. (2004). Real-Valued Pattern Recall by Associative Memory. In: Lemaître, C., Reyes, C.A., González, J.A. (eds) Advances in Artificial Intelligence – IBERAMIA 2004. IBERAMIA 2004. Lecture Notes in Computer Science(), vol 3315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30498-2_65

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  • DOI: https://doi.org/10.1007/978-3-540-30498-2_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23806-5

  • Online ISBN: 978-3-540-30498-2

  • eBook Packages: Springer Book Archive

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