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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… Expand
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Highly Cited
2011
Highly Cited
2011
A morphological neural network is generally defined as a type of artificial neural network that performs an elementary operation… Expand
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Highly Cited
2006
Highly Cited
2006
Competitive accretion, a process to explain the origin of the initial mass function (IMF), occurs when stars in a common… Expand
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Highly Cited
2001
Highly Cited
2001
For pt. I see ibid., p.891-905. An investigation has been made into the use of stochastic arithmetic to implement an artificial… Expand
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Highly Cited
2000
Highly Cited
2000
Is concerned with human value management, examines the relationships between organizations’ competitiveness, innovation… Expand
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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… Expand
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Highly Cited
1994
Highly Cited
1994
The winner-take-all (WTA) property is essential to competitive-learning systems. This article discusses WTA-type neural networks… Expand
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Highly Cited
1990
Highly Cited
1990
Abstract We compare a number of training algorithms for competitive learning networks applied to the problem of vector… Expand
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Highly Cited
1988
Highly Cited
1988
  • Duane. DeSieno
  • IEEE International Conference on Neural Networks
  • 1988
  • Corpus ID: 16841240
There are a number of neural networks that self-organize on the basis of what has come to be known as Kohonen learning. The… Expand
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Highly Cited
1987
Highly Cited
1987
Functional and mechanistic comparisons are made between several network models of cognitive processing: competitive learning… Expand
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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… Expand
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