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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | https://dialnet.unirioja.es/servlet/oaiart?codigo=4902661 |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Using genetic algorithm feature selection in neural classification systems for image pattern recognition
- Pronóstico puntos críticos de la serie temporal “consumo de energía eléctrica del sector industrial en la ciudad de Medellín”, Usando algoritmos genéticos
- Algoritmos genéticos
- Vectores
- Sobre algunas propiedades inusuales de las ecuaciones libres de Maxwell
- Minicircle and miniplasmid DNA vectors : the future of nonviral and viral gene transfer /
- Reconocimiento de comandos de voz usando la transformada wavelet y máquinas de vectores de soporte