Genetic algorithms as a strategy for feature selection
β Scribed by R. Leardi; R. Boggia; M. Terrile
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 891 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0886-9383
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π SIMILAR VOLUMES
Feature selection for transient classification is the problem of choosing among several monitored parameters (i.e., the features) to be used for efficiently recognizing the developing transient patterns. It is a critical issue for the application of "on condition" diagnostic techniques in complex sy
Genetic algorithms (GAs) are efficient search methods based on the paradigm of natural selection and population genetics. A simple GA was applied for selecting the optimal feature subset among an initial feature set of larger size. The performances were tested on a practical pattern recognition prob