A modified artificial immune network for feature extracting

Authors:
Hong Ge;XueMing Yan
Affiliations:
School of Computer Science, South China Normal University, Guangzhou, China;School of Computer Science, South China Normal University, Guangzhou, China
Venue:
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Year:
2011

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Abstract

focusing on "distinctiveness" and "effectiveness" of algorithms inspired by natural immune system, a novel artificial immune network algorithm named immune feature extracting network (IFEN) is proposed to realize the function of feature data extracting in this paper. Based on comprehensive analysis of mechanism of natural immune system and current researching works of artificial immune system (AIS), a modified paradigm of artificial immune network (AIN) and a new mutation operation are designed to adapt to decrease the size of sample data set and extract feature data from the data set with noise. The proposed algorithm is supposed to be used as a data preprocessing method with functions of data compression and data cleansing. Preliminary experiments show that the quality of the data set processed by IFEN is apparently improved and the size is compressed.