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Integer Self-Organizing Maps for Digital Hardware
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.ORCID iD: 0000-0002-1313-0934
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2019 (English)In: 2019 International Joint Conference on Neural Networks (IJCNN), IEEE, 2019, article id 8852471Conference paper, Published paper (Refereed)
Abstract [en]

The Self-Organizing Map algorithm has been proven and demonstrated to be a useful paradigm for unsupervised machine learning of two-dimensional projections of multidimensional data. The tri-state Self-Organizing Maps have been proposed as an accelerated resource-efficient alternative to the Self-Organizing Maps for implementation on field-programmable gate array (FPGA) hardware. This paper presents a generalization of the tri-state Self-Organizing Maps. The proposed generalization, which we call integer Self-Organizing Maps, requires only integer operations for weight updates. The presented experiments demonstrated that the integer Self-Organizing Maps achieve better accuracy in a classification task when compared to the original tri-state Self-Organizing Maps.

Place, publisher, year, edition, pages
IEEE, 2019. article id 8852471
Series
IEEE International Joint Conference on Neural Networks (IJCNN), ISSN 2161-4393
Keywords [en]
Self-Organizing Maps, tri-state Self-Organizing Maps, FPGA, digital hardware, the clipping function
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-172516DOI: 10.1109/IJCNN.2019.8852471ISI: 000530893806018Scopus ID: 2-s2.0-85073197110ISBN: 978-1-7281-1985-4 (electronic)OAI: oai:DiVA.org:umu-172516DiVA, id: diva2:1451888
Conference
International Joint Conference on Neural Networks (IJCNN), JUL 14-19, 2019, Budapest, HUNGARY
Funder
Swedish Research Council, 2015-04677The Swedish Foundation for International Cooperation in Research and Higher Education (STINT), IB2018-7482Available from: 2020-07-03 Created: 2020-07-03 Last updated: 2021-04-16Bibliographically approved

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Wiklund, Urban

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf