期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：12
出版社：S&S Publications
摘要：Artificial immune systems (AIS) square measure a category of computationally intelligent systems thattake into account several properties of natural immune system .Several AIS square measure wide used incompletely different application areas such as classification, clustering, web mining, virus detection, learning, imageprocess, AI management, bio-informatics and anomaly detection. Among this classification and bunch square measurewide used areas. Most of the bogus system employed in the classification and bunch space build use some key optionsof AIS like feature extraction, recognition and learning. This paper provides a good survey regarding artificial immunesystems that square measure employed in the classification and bunch space sand conjointly build use of the optionslike feature choice, pattern recognition and machine learning.
关键词：Artificial immune System; Classification; Clustering; Feature Selection; First Staten Machine;Learning.
