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A Novel Convolutional Neural Network with Glial Cells

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9693))

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Abstract

The research presented in the paper was inspired by the work of R. Douglas Fields. It transpired that not only neural structures in the brain play huge role in the process of understanding but also glial cells, which have so far been treated as passive cells with the task of protecting neuronal cells. This was a motivation to the proposed idea that currently extremely popular convolutional neural networks should be equipped with some elements corresponding to glial cells. In this work we present a modification of convolutional structures, which consist in adding additional adjustable parameters. The parameters control convolutional filter outputs. This approach allowed us to improve the quality of classification. In addition, the newly proposed structure is easier to interpret by indicating which filters are specific to a particular class of visual objects.

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Acknowledgements

This work was supported by the Polish National Science Centre (NCN) within project number DEC-2011/01/D/ST6/06957.

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Authors and Affiliations

  1. Institute of Computational Intelligence, Czȩstochowa University of Technology, al. Armii Krajowej 36, 42-200, Czȩstochowa, Poland

    Marcin Korytkowski

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  1. Marcin Korytkowski
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Correspondence to Marcin Korytkowski .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Korytkowski, M. (2016). A Novel Convolutional Neural Network with Glial Cells. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9693. Springer, Cham. https://doi.org/10.1007/978-3-319-39384-1_59

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  • DOI: https://doi.org/10.1007/978-3-319-39384-1_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39383-4

  • Online ISBN: 978-3-319-39384-1

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