294 search results - page 10 / 59 » Neural Network Ensembles for Time Series Prediction |
ICANN
2009
Springer
14 years 3 days ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
AI
2002
Springer
13 years 7 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
BMCBI
2004
13 years 7 months ago
2004
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE