DocumentCode :
2812744
Title :
Adaptive three-dimensional self-organizing map with a two-dimensional input layer
Author :
Seiffert, Udo ; Michaelis, Bernd
Author_Institution :
Inst. for Meas. Technol. & Electron., Otto-von-Guericke Univ. of Magdeburg, Germany
fYear :
1996
fDate :
18-20 Nov 1996
Firstpage :
258
Lastpage :
263
Abstract :
This paper introduces an adaptive growing three-dimensional self-organizing map with the special feature of a matrix input layer instead of a one-dimensional vector. First a short description of growing SOMs is given and the fundamental advantages are mentioned. Then an extension of the original SOM from two to three dimensions with a growing feature is presented. By means of a selected example the general behaviour of the algorithm is illustrated
Keywords :
adaptive systems; learning (artificial intelligence); matrix algebra; self-organising feature maps; vectors; adaptive three-dimensional self-organizing map; growing SOM; growing feature; matrix input layer; one-dimensional vector; two-dimensional input layer; Australia; Biological systems; Euclidean distance; Intelligent structures; Intelligent systems; Neurons; Self organizing feature maps; Sorting; Topology; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3667-4
Type :
conf
DOI :
10.1109/ANZIIS.1996.573952
Filename :
573952
Link To Document :
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