Competitive learning

Competitive learning is a form of unsupervised learning in artificial neural networks, in which nodes compete for the right to respond to a subset of… (More)
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Topic mentions per year

Topic mentions per year

1973-2017
02040608019732017

Papers overview

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2011
2011
This paper addresses the three important issues associated with competitive learning clustering, which are auto-initialization… (More)
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Highly Cited
1997
Highly Cited
1997
We derive learning rates such that all training patterns are equally important statistically and the learning outcome is… (More)
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Highly Cited
1997
Highly Cited
1997
This report has the purpose of describing several algorithms from the literature all related to competitive learning. A uniform… (More)
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Highly Cited
1994
Highly Cited
1994
Genetic algorithms (GAs) are biologically motivated adaptive systems which have been used, with varying degrees of success, for… (More)
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Highly Cited
1994
Highly Cited
1994
AbstructThis paper presents a color image segmentation method which divides color space into clusters. Competitive learning is… (More)
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Highly Cited
1993
Highly Cited
1993
It is shown that frequency sensitive competitive learning (FSCL), one version of the recently improved competitive learning (CL… (More)
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Highly Cited
1989
Highly Cited
1989
One popular class of unsupervised algorithms are competitive algorithms. In the traditional view of competition, only one… (More)
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Highly Cited
1988
Highly Cited
1988
There are a number of neural networks that self-organize on the basis of what has come to be known as Kohonen learning. The… (More)
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Highly Cited
1987
Highly Cited
1987
Functional ond mechanistic comparisons are mode between several network models of cognitive processing: competitive learning… (More)
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Highly Cited
1985
Highly Cited
1985
This paper reporis the results of our studies with an unsupervised learning paradigm which we have called “Competitive Learning… (More)
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