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The Design and Implementation of Color Matching System Based on Back Propagation

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Developments in Applied Artificial Intelligence (IEA/AIE 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2358))

Abstract

First, we implemented the iterative self-organizing data analysis techniques algorithm (ISODATA) in Color Matching Method (CMM). Then, the BP algorithm and the neural network structure in CMM are presented. We used four methods in the CMM to enhance network efficiency. Finally, we made quantitative analysis for the network learning procedure.

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Author information

Authors and Affiliations

  1. Turku Centre for Computer Science TUCS Department of Information Systems, Abo Akademi University, Lemminkäinengatan 14 B, Fin-20520, Turku, Finland

    HaiYi Zhang & Barbro Back

  2. Department of computer Science, Harbin Institute of Technology, HeilongJiang, 150001, China

    JianDong Bi

Authors
  1. HaiYi Zhang
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  2. JianDong Bi
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  3. Barbro Back
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Editor information

Editors and Affiliations

  1. Centre for Intelligent Systems and Complex Processes, Swinburne University of Technology, John Street, Hawthorn, Victoria, Australia, 3122

    Tim Hendtlass

  2. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666, USA

    Moonis Ali

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© 2002 Springer-Verlag Berlin Heidelberg

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Zhang, H., Bi, J., Back, B. (2002). The Design and Implementation of Color Matching System Based on Back Propagation. In: Hendtlass, T., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2002. Lecture Notes in Computer Science(), vol 2358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48035-8_54

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  • DOI: https://doi.org/10.1007/3-540-48035-8_54

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43781-9

  • Online ISBN: 978-3-540-48035-8

  • eBook Packages: Springer Book Archive

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