Recursive self-organizing map as a contractive iterative function system

Lecture Notes in Computer Science

Volumn 3578, Issue , 2005, Pages 327-334

  Tiňo, Peter ^a   Farkaš, Igor ^b   Van Mourik, Jort ^c  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b Physics and Informatics   (Slovakia)

^c ASTON UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; GRAPH THEORY; INFORMATION ANALYSIS; MARKOV PROCESSES; PARAMETRIC AMPLIFIERS; TREES (MATHEMATICS);

RECEPTIVE FIELDS; TOPOGRAPHIC MAPS; VECTORIAL DATA;

TOPOLOGY;

EID: 26444435652     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11508069_43     Document Type: Conference Paper

References (12)

1. Voegtlin, T.: Recursive self-organizing maps. Neural Networks 15 (2002) 979-992
2. Kohonen, T.: Self-organizing formation of topologically correct feature maps. Biological Cybernetics 43 (1982) 59-69
3. de A. Barreto, G., Araújo, A., Kremer, S.: A taxanomy of spatiotemporal connectionist networks revisited: The unsupervised case. Neural Computation 15 (2003) 1255-1320
4. Hammer, B., Micheli, A., Strickert, M., Sperduti, A.: A general framework for unsupervised processing of structured data. Neurocomputing 57 (2004) 3-35
5. Chappell, G., Taylor, J.: The temporal kohonen map. Neural Networks 6 (1993) 441-445
6. Koskela, T., and J. Heikkonen, M.V., Kaski, K.: Recurrent SOM with local linear models in time series prediction. In: 6th European Symposium on Artificial Neural Networks. (1998) 167-172
7. Horio, K., Yamakawa, T.: Feedback self-organizing map and its application to spatio-temporal pattern classification. International Journal of Computational Intelligence and Applications 1 (2001) 1-18
8. Strickert, M., Hammer, B.: Neural gas for sequences. In: Proceedings of the Workshop on Self-Organizing Maps (WSOM'03). (2003) 53-57
9. Hagenbuchner, M., Sperduti, A., Tsoi, A.: Self-organizing map for adaptive processing of structured data. IEEE Transactions on Neural Networks 14 (2003) 491-505
10. Schulz, R., Reggia, J.: Temporally asymmetric learning supports sequence processing in multi-winner self-organizing maps. Neural Computation 16 (2004) 535-561
11. Hammer, B., Micheli, A., Sperduti, A., Strickert, M.: Recursive self-organizing network models. Neural Networks 17 (2004) 1061-1085
12. Tiňo, P., Farkaš, I., van Mourik, J.: Topographic organization of receptive fields in recursive self-organizing map. Technical Report CSRP-05-06, University of Birmingham, School of Computer Science, http://www.cs.bham.ac.uk/~pxt/PAPERS/tino.tr05.pdf (2005)