The self-organizing map
NeurocomputingPublished 1 November 1998
Teuvo Kohonen
Citations1,947
SJR quartileQ1
SJR score1.47
SNIP1.94
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TL;DR
The self-organizing map, an architecture suggested for artificial neural networks, is explained by presenting simulation experiments and practical applications, and an algorithm which order responses spatially is reviewed, focusing on best matching cell selection and adaptation of the weight vectors.
Abstract
An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.
Keywords
Computer ScienceEngineering
Neural ComputationConvergence and Ordering of Kohonen's Batch Map
60 Citations1997Yizong Cheng
The convergence and ordering of Kohonen's batch-mode self-organizing map with Heskes and Kappen's (1993) winner selection are proved and it is shown that when the neighborhood relation is doubly decreasing, order in the map is preserved.