DocumentCode :
3852899
Title :
Yet another algorithm which can generate topography map
Author :
J. Sum; Chi-Sing Leung; Lai-Wan Chan; Lei Xu
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume :
8
Issue :
5
fYear :
1997
Firstpage :
1204
Lastpage :
1207
Abstract :
This paper presents an algorithm to form a topographic map resembling to the self-organizing map. The idea stems on defining an energy function which reveals the local correlation between neighboring neurons. The larger the value of the energy function, the higher the correlation of the neighborhood neurons. On this account, the proposed algorithm is defined as the gradient ascent of this energy function. Simulations on two-dimensional maps are illustrated.
Keywords :
"Surfaces","Neurons","Neural networks","Mutual information","Convergence","Computer science","Lattices","Stochastic processes","Entropy","Clustering algorithms"
Journal_Title :
IEEE Transactions on Neural Networks
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/72.623221
Filename :
623221
Link To Document :
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