Hierarchical neural network for color classificationShow others and affiliations
1994 (English)In: The 1994 IEEE International Conference on Neural Networks: IEEE World Congress on Computational Intelligence, June 27-June 29, 1994, Walt Disney World Dolphin Hotel, Orlando, Florida, Vol. 5 / [ed] IEEE, Piscataway, NJ: IEEE Press, 1994, p. 2938-2941Conference paper, Published paper (Refereed)
Abstract [en]
To make the hierarchical architecture, the neural networks of different type and different unsupervised learning techniques were combined. The classification accuracy obtained from such architecture is high enough to use it in the print quality control.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 1994. p. 2938-2941
Series
IEEE International Conference on Neural Networks - Conference Proceedings, ISSN 1098-7576
Keywords [en]
Color, Color printing, Hierarchical systems, Iterative methods, Learning systems, Quality control
National Category
Economics and Business Medical Engineering
Identifiers
URN: urn:nbn:se:hh:diva-18829DOI: 10.1109/ICNN.1994.374699ISI: A1994BC54C00548Scopus ID: 2-s2.0-0028734903ISBN: 0-7803-1901-X (print)OAI: oai:DiVA.org:hh-18829DiVA, id: diva2:544583
Conference
1994 IEEE International Conference on Neural Networks (ICNN 94) - 1st IEEE World Congress on Computational Intelligence, Orlando, FL, June 26-29, 1994
2012-08-152012-06-252022-09-13Bibliographically approved