DocumentCode
2617539
Title
The research of fractional distance based artificial immune system
Author
Zhao, Yangjie ; Gao, Jiangjin ; Wang, Shubin
Author_Institution
Exp. Center, China West Normal Univ., Nanchong, China
fYear
2011
fDate
27-29 June 2011
Firstpage
3742
Lastpage
3745
Abstract
Traditional negative selection algorithms need to calculate the distances between detectors and sample data based on Minkowski distances.As the distance converage in high dimensional, so the data discrimination will become difficult. In this article, we analyzed the relationship of data dimension and data relative constrast and employed fractional distance calculation method to improve the accuracy of data discrimination.
Keywords
artificial immune systems; data handling; Minkowski distance; artificial immune system; data dimension; data discrimination; data relative contrast; fractional distance calculation method; negative selection algorithm; Detectors; Diseases; Evolutionary computation; Immune system; Kernel; Knowledge engineering; Pattern recognition; artificial immune; detector; fractional distance; immune system;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5974521
Filename
5974521
Link To Document