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Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers

Maha Mohammed · University of Mosul, College of Education for Pure Science · 1970

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Autore / responsabile
Maha Mohammed
Editore
University of Mosul, College of Education for Pure Science
Anno
1970
ISSN
1812-125X
ISSN
1812-125X
Lingua
Inglés
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<strong>Abstract</strong><br /> This work involves the use some of Artificial intelligence techniques algorithms which are genetic algorithm and artificial immune system algorithm- clonal selection algorithm.<br /> A comparison was done between the original mode of the Latin number and the distorted modes applied for the same number and with the use of above algorithms.<br /> Mode results obtained from implementing both algorithms showed that the artificial immune system algorithm(Clonal selection algorithm) was good and 85% in getting closer modes to that of the applied Latin number original mode.<br /> Both above algorithms are based on optimization principle in getting the results.

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APA 7

Mohammed, M. (1970). Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers. https://doi.org/10.33899/edusj.1970.162121

MLA

Mohammed, Maha. "Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers." 1970. https://doi.org/10.33899/edusj.1970.162121.

Chicago

Mohammed, Maha. 1970. "Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers.". https://doi.org/10.33899/edusj.1970.162121.

Harvard

Mohammed, M. 1970, Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.1970.162121 [Accessed 7 Aug. 2026].

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Titolo
Compare Between Genetic Algorithm and Clonal Selection Algorithm To Pattern Recognition Latin's Numbers
Autore / collaboratori
Maha Mohammed
Editore
University of Mosul, College of Education for Pure Science
Anno di pubblicazione
1970
ISSN
1812-125X
ISSN
1812-125X
Lingua
Inglés

Soggetti

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patterns recognition; genetic algorithm; artificial immune system(ais); clonal selection algorithm
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