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» Convergence of a Neural Network Classifier
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NIPS
1990
13 years 5 months ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna
TSMC
2002
119views more  TSMC 2002»
13 years 4 months ago
A cloning approach to classifier training
The Al-Alaoui algorithm is a weighted mean-square error (MSE) approach to pattern recognition. It employs cloning of the erroneously classified samples to increase the population o...
M. A. Al-Alaoui, R. Mouci, M. M. Mansour, Rony Fer...
IWANN
1993
Springer
13 years 8 months ago
Constructive Design of LVQ and DSM Classifiers
Juan Carlos Pérez-Cortes, Enrique Vidal
IJON
2008
116views more  IJON 2008»
13 years 4 months ago
Evolutionary ensemble of diverse artificial neural networks using speciation
Recently, many researchers have designed neural network architectures with evolutionary algorithms but most of them have used only the fittest solution of the last generation. To ...
Kyung-Joong Kim, Sung-Bae Cho