Abstract
The decision surface mapping (DSM) version of Kohonen’s LVQ technique seems to have been neglected in comparison to other neural network paradigms. In this paper, we explore its use for the swift learning and recognition of objects flowing along a conveyor line in a small-scale manufacturing plant. The experimental work reported suggests that DSM has considerable potential in image recognition problems.
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References
T. Kohonen (1989) Self-Organization and Associative Memory, 2nd edition, Springer-Verlag, Berlin.
S. Haykin (1999) Neural Networks: a Comprehensive Foundation, 2nd edition, Prentice Hall, London.
S. Geva J. Sitte (1991) Adaptive nearest neighbour pattern classification. IEEE Trans. Neural Networks, 2, 318–322.
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© 2001 Springer-Verlag Wien
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Reeves, C., Billan, G.S. (2001). Using Decision Surface Mapping in the Automatic Recognition of Images. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_19
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DOI: https://doi.org/10.1007/978-3-7091-6230-9_19
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83651-4
Online ISBN: 978-3-7091-6230-9
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