Title :
Two alternative soft self-organizing maps: their algorithms and applications
Author_Institution :
Dept. of Comput., Hong Kong Polytech. Univ., China
Abstract :
This paper presents two SOM-like algorithms that are extended from two alternative soft competition algorithms namely maximum likelihood competitive learning (MLCL) and fuzzy competitive learning (FCL). Simulation results on the topographic map formation are presented and a possible application of such algorithms for data transmission is elucidated. It is observed that under certain circumstances, the performance of these SSOM algorithms in a vowel data transmission problem can be comparable to and sometimes even better than that of using SOM.
Keywords :
fuzzy systems; maximum likelihood estimation; self-organising feature maps; unsupervised learning; vector quantisation; FCL; MLCL; SOM algorithms; data transmission; fuzzy competitive learning; maximum likelihood competitive learning; soft self organizing maps; topographic map formation; Biomedical signal processing; Clustering algorithms; Computational modeling; Data communication; Image communication; Neurons; Self organizing feature maps; Signal processing algorithms; Uniform resource locators; Vector quantization;
Conference_Titel :
Systems, Man and Cybernetics, 2003. IEEE International Conference on
Print_ISBN :
0-7803-7952-7
DOI :
10.1109/ICSMC.2003.1244273
