17 search results - page 3 / 4 » Heuristic speciation for evolving neural network ensemble |
GECCO
2009
Springer
13 years 12 months ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
EVOW
2003
Springer
13 years 10 months ago
2003
Springer
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...
CIDM
2009
IEEE
14 years 1 days ago
2009
IEEE
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...