Proposing a Features Preprocessing Method Based on Artificial Immune and Minimum Classification Errors Methods
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universidad Nacional Autónoma de México
2015
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| _version_ | 1876437945370542080 |
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| author | M. Miralvand |
| author_facet | M. Miralvand |
| contents | Proposing a Features Preprocessing Method Based on Artificial Immune and Minimum Classification Errors Methods M. Miralvand S. Rasoolzadeh M. Majidi Ingeniería Optimization Problem Evolutionary Algorithm Artificial Immune Systems Artificial immune systems that have been inspired from or ganic immune systems, have dr awn many attentions in recent years (and have been considered) as an evolutionary algorithm and have be en applied in different papers. This algorithm can be used in two different areas of optimization and classification. In this paper, an artificial immune algorithm has been applied in optimization problem. In particular artificial immune systems have been used for computing the mapping matrices and im proving features. Comparison of results of proposed method with other preprocessing methods shows the superior ity of the proposed met hod so that in 90% of cases it has the best performance based on different measures. Evaluation measur es are including classification rate, variance and compression measure. 2015 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47436895010 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.1 Vol.13 |
| format | Artículo científico |
| id | redalyc_47436895010 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Proposing a Features Preprocessing Method Based on Artificial Immune and Minimum Classification Errors Methods M. Miralvand Ingeniería Optimization Problem Evolutionary Algorithm Artificial Immune Systems Proposing a Features Preprocessing Method Based on Artificial Immune and Minimum Classification Errors Methods M. Miralvand S. Rasoolzadeh M. Majidi Ingeniería Optimization Problem Evolutionary Algorithm Artificial Immune Systems Artificial immune systems that have been inspired from or ganic immune systems, have dr awn many attentions in recent years (and have been considered) as an evolutionary algorithm and have be en applied in different papers. This algorithm can be used in two different areas of optimization and classification. In this paper, an artificial immune algorithm has been applied in optimization problem. In particular artificial immune systems have been used for computing the mapping matrices and im proving features. Comparison of results of proposed method with other preprocessing methods shows the superior ity of the proposed met hod so that in 90% of cases it has the best performance based on different measures. Evaluation measur es are including classification rate, variance and compression measure. 2015 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47436895010 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.1 Vol.13 |
| title | Proposing a Features Preprocessing Method Based on Artificial Immune and Minimum Classification Errors Methods |
| topic | Ingeniería Optimization Problem Evolutionary Algorithm Artificial Immune Systems |
| url | https://www.redalyc.org/articulo.oa?id=47436895010 |