Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development
In the last decades ensemble learning has established itself as a valuable strategy within the computational intelligence modeling and machine learning community. Ensemble learning is a paradigm where multiple models combine in some way their decisions, or their learning algorithms, or different dat...
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| Other Authors: | , |
| Format: | article |
| Language: | eng |
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2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10316/27282 |
| Country: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/27282 |