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International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets

IWIFSGN 2018: Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives pp 131–138Cite as

Generalized Net Model of the Deep Convolutional Neural Network

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1081))

Abstract

Generalized Nets (GNs) are constructed in a series of papers, representing the functioning and the results of the work of different types of Neural Networks (NNs). In the present research, we show the functioning and the results of the structure of a Convolutional Neural Networks.

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Acknowledgments

The authors are grateful for the support provided by the project “New Instruments for Knowledge Discovery from Data, and Their Modelling,” funded by the National Science Fund, Bulgarian Ministry of Education, Youth and Science (no. DN-02-10/2016).

Author information

Authors and Affiliations

  1. Intelligent Systems Laboratory, Assen Zlatarov University, Burgas, Bulgaria

    Sotir Sotirov, Evdokia Sotirova, Stanimir Surchev, Todor Petkov & Vania Georgieva

Authors
  1. Sotir Sotirov
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  2. Evdokia Sotirova
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  3. Stanimir Surchev
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  4. Todor Petkov
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  5. Vania Georgieva
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Corresponding author

Correspondence to Sotir Sotirov .

Editor information

Editors and Affiliations

  1. Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Sofia, Bulgaria

    Krassimir T. Atanassov

  2. Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Institute of Biophysics and Biomedical Engineering, Sofia, Bulgaria

    Vassia Atanassova

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Andrzej Kaluszko

  5. WIT- Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

  6. Polish Acadamy of Sciences, Systems Research Institute, Warsaw, Poland

    Jan W. Owsinski

  7. Intelligent Systems Laboratory, Faculty of Technical Sciences, Bourgas, Bulgaria

    Sotir Sotirov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University, Burgas, Bulgaria

    Evdokia Sotirova

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Eulalia Szmidt

  10. Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Slawomir Zadrozny

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Sotirov, S., Sotirova, E., Surchev, S., Petkov, T., Georgieva, V. (2021). Generalized Net Model of the Deep Convolutional Neural Network. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_14

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