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
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;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974521
