Using genetic algorithm feature selection in neural classification systems for image pattern recognition
Pattern recognition performance depends on variations during extraction, selection and classification stages. This paper presents an approach to feature selection by using genetic algorithms with regard to digital image recognition and quality control. Error rate and kappa coefficient were used for...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Nacional de Colombia
2013-01-01
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| Series: | Ingeniería e Investigación |
| Subjects: | |
| Online Access: | https://revistas.unal.edu.co/index.php/ingeinv/article/view/37667 |