Effect of fuzzy resource allocation method on AIRS classifier accuracy

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Effect of fuzzy resource allocation method on AIRS classifier accuracy

Artificial Immune Recognition System (AIRS) is immune inspired classifier that competes with famous classifiers. Many researches have been conducted to improve the accuracy of AIRS and to investigate the source of power of AIRS. Some of these researches have focused on resource allocation method of...

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Bibliographic Details
Main Authors:	Golzari, Shahram, Doraisamy, Shyamala, Sulaiman, Md. Nasir, Udzir, Nur Izura
Format:	Article
Language:	English English
Published:	2009
Subjects:	Immune system - Computer simulation Immunocomputers Artificial intelligence
Online Access:	http://psasir.upm.edu.my/id/eprint/14248/ http://psasir.upm.edu.my/id/eprint/14248/1/Effect%20of%20fuzzy%20resource%20allocation%20method%20on%20AIRS%20classifier%20accuracy.pdf

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