Title :
Research on some problems in the Kohonen SOM algorithm
Author :
He, Ying ; Feng, Tian-Jin ; Cao, Jun-Kuo ; Ding, Xiang-Qian ; Zhou, Ying-Hui
Author_Institution :
Dept. of Electr. Eng., Ocean Univ. of Qingdao, China
Abstract :
The article analyzes the relation between initial parameters setting and the formation of a topographic map of the input patterns in which the spatial locations of the neurons in the lattice are indicative of intrinsic statistical features contained in the input patterns of a Kohonen self-organizing map (SOM) algorithm. Taking a network arranged in the form of a two-dimensional lattice and trained with a two-dimensional input vector as an example, the author puts forward an initializing method for connection weights of the neurons in the competition layer.
Keywords :
learning (artificial intelligence); self-organising feature maps; Kohonen SOM algorithm; Kohonen self-organizing map algorithm; competition layer; connection weights; initial parameters setting; initializing method; input patterns; intrinsic statistical features; topographic map; two-dimensional input vector; two-dimensional lattice; Application software; Convergence; Helium; Lattices; Machine learning; Machine learning algorithms; Neurons; Oceans; Organizing; Signal processing algorithms;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167409
