567 search results - page 100 / 114 » Convergence of a Neural Network Classifier |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
JCP
2008
13 years 7 months ago
2008
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...
ACIIDS
2009
IEEE
13 years 5 months ago
2009
IEEE
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
JMLR
2012
11 years 10 months ago
2012
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
IWANN
2001
Springer
14 years 7 days ago
2001
Springer
This paper looks upon the standard genetic algorithm as an artificial self-organizing process. With the purpose to provide concepts that make the algorithm more open for scalabili...