DocumentCode
2342128
Title
A Learning Algorithm for Self-Organizing Maps Based on a Low-Pass Filter Scheme
Author
Tucci, Mauro ; Raugi, Marco
Author_Institution
Dept. of Electr. Syst. & Autom., Univ. of Pisa, Pisa, Italy
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
31
Lastpage
36
Abstract
In this work a novel training algorithm is proposed for the formation of topology preserving maps. In the proposed algorithm the weights are updated incrementally by using a higher-order difference equation, which implements a low pass digital filter. It is shown that by suitably choosing the filter the learning process can adaptively follow a specific dynamic.
Keywords
difference equations; learning (artificial intelligence); low-pass filters; self-organising feature maps; higher-order difference equation; learning algorithm; low-pass filter scheme; self-organizing maps; Adaptive filters; Difference equations; Digital filters; Human computer interaction; Kernel; Low pass filters; Nonlinear filters; Self organizing feature maps; Topology; Vectors; digital filters; incremental learning; self-organizing maps;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive and Intelligent Systems, 2009. ICAIS '09. International Conference on
Conference_Location
Klagenfurt
Print_ISBN
978-0-7695-3827-3
Type
conf
DOI
10.1109/ICAIS.2009.15
Filename
5328078
Link To Document