498 search results - page 8 / 100 » Training Neural Networks with GA Hybrid Algorithms |
ESANN
2003
13 years 8 months ago
2003
Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...
IAJIT
2010
13 years 6 months ago
2010
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
WINE
2005
Springer
14 years 26 days ago
2005
Springer
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Higher order networks allow modelling of correlates and geometrically invariant properties. Current techniques for their development either require domain knowledge, or are con...
FSKD
2005
Springer
14 years 28 days 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...