524 search results - page 13 / 105 » Training Feedforward Neural Networks Using Genetic Algorithm... |
ESANN
2003
13 years 10 months ago
2003
In this paper we propose a new algorithm for rule extraction from a trained Multilayer Feedforward network. The algorithm is based on an interval arithmetic network inversion for p...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
NPL
2011
12 years 11 months ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
JCIT
2010
13 years 3 months ago
2010
Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the art...
FSKD
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...