Dynamic self-organising map

  title={Dynamic self-organising map},
  author={Nicolas P. Rougier and Yann Boniface},
6 We present in this paper a variation of the self-organising map algorithm where the original 7 time-dependent (learning rate and neighbourhood) learning function is replaced by a time8 invariant one. This allows for on-line and continuous learning on both static and dynamic 9 data distributions. One of the property of the newly proposed algorithm is that it does 10 not fit the magnification law and the achieved vector density is not directly proportional 11 to the density of the distribution… CONTINUE READING
Highly Cited
This paper has 46 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 27 extracted citations

Self-organizing Developmental Reinforcement Learning

SAB • 2012
View 9 Excerpts
Highly Influenced

Hardware design of a neural processing unit for bio-inspired computing

2015 IEEE 13th International New Circuits and Systems Conference (NEWCAS) • 2015
View 9 Excerpts
Highly Influenced

Online learning of visuo-motor coordination in a humanoid robot. A biologically inspired model

4th International Conference on Development and Learning and on Epigenetic Robotics • 2014
View 9 Excerpts
Highly Influenced

Fault tolerance of self-organizing maps

Neural Computing and Applications • 2018
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 31 references

A Growing Neural Gas Network Learns Topologies

NIPS • 1994
View 6 Excerpts
Highly Influenced

Fast learning with incremental RBF networks

Neural Processing Letters • 1994
View 6 Excerpts
Highly Influenced

Bibliography of self-organizing map (som) papers: 363 2002-2005 addendum

M. Pöllä, T. Honkela, T. Kohonen
Tech. rep., Information and Computer Science, Helsinki University 364 of Technology • 2009
View 1 Excerpt

Bibliography of self-organizing map (som) papers: 1998- 359 2001 addendum

M. Oja, S. Kaski, T. Kohonen
Neural Computing Surveys 3 • 2003
View 1 Excerpt

Learning and development in kohonen-style self-organising maps

R. Keith-Magee
Ph.D. 376 thesis, Curtin University of Technology • 2001
View 1 Excerpt

Similar Papers

Loading similar papers…