16 search results - page 2 / 4 » Evolutionary ensemble of diverse artificial neural networks ... |
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— Ensembles are often capable of greater predictive accuracy than any of their individual members. One key attribute of ensembles’ success is the notion of diversity. However, ...
ICIC
2007
Springer
13 years 11 months ago
2007
Springer
Driven by new regulations and animal welfare, the need to develop in silico models has increased recently as alternative approaches to safety assessment of chemicals without animal...
GECCO
2009
Springer
13 years 11 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...
CIDM
2009
IEEE
13 years 12 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...