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Layer-Wise Optimization of Contextual Neural Networks with Dynamic Field of Aggregation

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Intelligent Information and Database Systems (ACIIDS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13758))

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Abstract

This paper includes a presentation of experiments performed on Contextual Neural Networks with a dynamic field of view. It is checked how their properties can be affected by the usage of not-uniform numbers of groups in different layers of contextual neurons. Basic classification properties and activity of connections are reported based on simulations with H2O machine learning server and Generalized Backpropagation algorithm. Results are obtained for data sets with a high number of attributes (gene expression of bone marrow cancer and myeloid leukemia) as well as for standard problems from UCI Machine Learning Repository. Results indicate that layer-wise selection of numbers of connection groups can have a positive influence on the behavior of Contextual Neural Networks.

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Author information

Authors and Affiliations

  1. Wroclaw University of Science and Technology, Wroclaw, Poland

    Marcin Jodłowiec

  2. Politechnica University Timisoara, Timisoara, Romania

    Adriana Albu

  3. Esently, Rzeszów, Poland

    Krzysztof Wołk

  4. Can Tho University, Can Tho, Vietnam

    Nguyen Thai-Nghe

  5. Information Technologies Department, CERN, Geneva, Switzerland

    Adrian Karasiński

Authors
  1. Marcin Jodłowiec
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  2. Adriana Albu
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  3. Krzysztof Wołk
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  4. Nguyen Thai-Nghe
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  5. Adrian Karasiński
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Corresponding author

Correspondence to Marcin Jodłowiec .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Vietnam National University, Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Tien Khoa Tran

  3. Al-Farabi Kazakh National University, Almaty, Kazakhstan

    Ualsher Tukayev

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  6. University of Newcastle, Newcastle, NSW, Australia

    Edward Szczerbicki

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Jodłowiec, M., Albu, A., Wołk, K., Thai-Nghe, N., Karasiński, A. (2022). Layer-Wise Optimization of Contextual Neural Networks with Dynamic Field of Aggregation. In: Nguyen, N.T., Tran, T.K., Tukayev, U., Hong, TP., Trawiński, B., Szczerbicki, E. (eds) Intelligent Information and Database Systems. ACIIDS 2022. Lecture Notes in Computer Science(), vol 13758. Springer, Cham. https://doi.org/10.1007/978-3-031-21967-2_25

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  • DOI: https://doi.org/10.1007/978-3-031-21967-2_25

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  • Online ISBN: 978-3-031-21967-2

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