Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification
| Autor: | Baraldi, Piero, Pedroni, Nicola, Zio, Enrico |
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| Rok vydání: | 2009 |
| Předmět: |
Complex systems
Pareto fronts Theoretical Computer Science Pareto-optimal solutions K-nearest neighbors Pareto genetic algorithms Transient classifications Artificial Intelligence Feature spaces Multi-objective genetic algorithms Diagnostic problems Nuclear power Objective functions Transient signals Diagnostic techniques Search spaces Boiling waters Classification accuracies Critical issues Diagnostic performance Feature selections Feature subsets Feedwater systems Genetic searches Optimal subsets Simulated transients Transient patterns Human-Computer Interaction Software |
| Zdroj: | International Journal of Intelligent Systems. 24:118-151 |
| ISSN: | 1098-111X 0884-8173 |
| DOI: | 10.1002/int.20328 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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