SHUFFLED FROG LEAPING ALGORITHM AND FEATURE SELECTION FOR IMPROVING RECOGNITION RATE OF PERSIAN HANDWRITTEN DIGITS CLASSIFIER
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
2017
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| _version_ | 1876480162524037120 |
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| author | N. Ghanbari |
| author_facet | N. Ghanbari |
| contents | SHUFFLED FROG LEAPING ALGORITHM AND FEATURE SELECTION FOR IMPROVING RECOGNITION RATE OF PERSIAN HANDWRITTEN DIGITS CLASSIFIER N. Ghanbari M. Heidari Ingeniería features selection Persian handwritten digits recognition Shuffled Frog Leaping algorithm (SFLA) In this paper, Shuffled Frog Leaping Algorithm is used to improve the recognition rate of Persian handwritten digits. In proposed approach, the effective features in increasing the recognition rate are selected using the Binary Shuffled Frog Leaping Algori thm (BSFLA). By selecting the most suitable features from among all extracted features, the recognition rate is improved and computational costs are also decreased. The fitness function in BSFLA is the number of errors in the Fuzzy classifier which its min imum value is desired. The results indicate that Shuffled Frog Leaping algorithm (SFLA) is more efficient. 2017 artículo científico 1518-1634 https://www.redalyc.org/articulo.oa?id=481554850008 en http://www.redalyc.org/revista.oa?id=4815 HOLOS application/pdf Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte HOLOS (Brasil) Vol.5 |
| format | Artículo científico |
| id | redalyc_481554850008 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte |
| spellingShingle | SHUFFLED FROG LEAPING ALGORITHM AND FEATURE SELECTION FOR IMPROVING RECOGNITION RATE OF PERSIAN HANDWRITTEN DIGITS CLASSIFIER N. Ghanbari Ingeniería features selection Persian handwritten digits recognition Shuffled Frog Leaping algorithm (SFLA) SHUFFLED FROG LEAPING ALGORITHM AND FEATURE SELECTION FOR IMPROVING RECOGNITION RATE OF PERSIAN HANDWRITTEN DIGITS CLASSIFIER N. Ghanbari M. Heidari Ingeniería features selection Persian handwritten digits recognition Shuffled Frog Leaping algorithm (SFLA) In this paper, Shuffled Frog Leaping Algorithm is used to improve the recognition rate of Persian handwritten digits. In proposed approach, the effective features in increasing the recognition rate are selected using the Binary Shuffled Frog Leaping Algori thm (BSFLA). By selecting the most suitable features from among all extracted features, the recognition rate is improved and computational costs are also decreased. The fitness function in BSFLA is the number of errors in the Fuzzy classifier which its min imum value is desired. The results indicate that Shuffled Frog Leaping algorithm (SFLA) is more efficient. 2017 artículo científico 1518-1634 https://www.redalyc.org/articulo.oa?id=481554850008 en http://www.redalyc.org/revista.oa?id=4815 HOLOS application/pdf Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte HOLOS (Brasil) Vol.5 |
| title | SHUFFLED FROG LEAPING ALGORITHM AND FEATURE SELECTION FOR IMPROVING RECOGNITION RATE OF PERSIAN HANDWRITTEN DIGITS CLASSIFIER |
| topic | Ingeniería features selection Persian handwritten digits recognition Shuffled Frog Leaping algorithm (SFLA) |
| url | https://www.redalyc.org/articulo.oa?id=481554850008 |