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  • 标题:Multi-Counterpropagation Network Model For Colour Recognition
  • 本地全文:下载
  • 作者:Razali Yaakob ; Md. Nasir Sulaiman ; Ramlan Mahmod
  • 期刊名称:Malaysian Journal of Computer Science
  • 印刷版ISSN:0127-9084
  • 出版年度:1999
  • 卷号:12
  • 期号:1
  • 出版社:University of Malaya * Faculty of Computer Science and Information Technology
  • 摘要:Minolta Chroma Meters was used to convert colours into numbers. It offers five different colour systems for measuring absolute chromaticity, that is, CIE Yxy, L*a*b*, L*C*Ho, Hunter Lab and XYZ. In this study, only L*a*b* is used, and combinations of two counterpropagation network (CPN) are required to recognise 808 colours produced by The Royal Horticultural Society, based on RHS Colour Chart [1]. Our proposed neural network model is tested; the result shows that 99% of trained data are recognised, against 98% for untrained data.
  • 关键词:CPN model; competitive layer; unsupervised learning; supervised learning; Minolta Chroma Meters
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