19 search results - page 1 / 4 » Evolutionary Ensemble for Stock Prediction |
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
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, ...
ESWA
2006
13 years 4 months ago
2006
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
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...
ISMIS
2003
Springer
13 years 10 months ago
2003
Springer
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...