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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2004: Artificial Intelligence and Soft Computing - ICAISC 2004 pp 38–43Cite as

Visualization of Hidden Node Activity in Neural Networks: I. Visualization Methods

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

Abstract

Quality of neural network mappings may be evaluated by visual inspection of hidden and output node activities for the training dataset. This paper discusses how to visualize such multidimensional data, introducing a new projection on a lattice of hypercube nodes. It also discusses what type of information one may expect from visualization of the activity of hidden and output layers. Detailed analysis of the activity of RBF hidden nodes using this type of visualization is presented in the companion paper.

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References

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Singapore

    Włodzisław Duch

  2. Department of Informatics, Nicholaus Copernicus University, Grudziądzka 5, Toruń, Poland

    Włodzisław Duch

Authors
  1. Włodzisław Duch
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Duch, W. (2004). Visualization of Hidden Node Activity in Neural Networks: I. Visualization Methods. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_5

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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