Abstract
In this paper, a learning algorithm that leads to an efficient self-organization in a Kohonen Neural Network (KNN) with fixed neighbourhood is presented. This algorithm may be faster than the originally proposed for KNNs, produces in general better covering of the input stimulus space, and can be more easily implemented in hardware due to the fixed neighbourhood it manages.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
KOHONEN,T.: “Self-organized Formation of Topologically Correct Feature Maps”. Biological Cybernetics 43, pp. 59–69. 1982.
KOHONEN,T.: “The ‘Neural’ Phonetic Typewriter”. Computer, pp.11–22. 1988.
KOHONEN,T.: “The Self-Organizing Map”. Proceedings of the IEEE. vol. 78, no.9. pp. 1464–1479. 1990.
MÜLLER,B.; REINHARDT,J.: “Neural Networks. An Introduction”. Springer-Verlag, pp.245–249. 1990.
PRIETO,A.; MARTIN-SMITH,P.; MERELO,J.J.; PELAYO,F.J.; ORTEGA,J.; FERNANDEZ,F.J.; PINO,B: “Simulation and Hardware Implementation of Competitive Learning Neural Networks”, in Statistical Mechanics of Neural Networks, L.Garrido (Ed.). Springer-Verlag, pp.189–204. 1990.
RUMELHART,D.E.; ZIPSER,D: “Feature Discovery by Competitive Learning”, in Parallel Distributed Processing, Rumelhart & McClelland (Eds.) MIT Press, Vol.1, pp.151–193. 1986.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Martin-Smith, P., Pelayo, F.J., Diaz, A., Ortega, J., Prieto, A. (1993). A learning algorithm to obtain self-organizing maps using fixed neighbourhood Kohonen networks. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_163
Download citation
DOI: https://doi.org/10.1007/3-540-56798-4_163
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-56798-1
Online ISBN: 978-3-540-47741-9
eBook Packages: Springer Book Archive