An improved artificial immune recognition system

Xiaoyang Fu; Shuqing Zhang

doi:10.1109/ICIST.2012.6221728

An improved artificial immune recognition system

Xiaoyang Fu^*
, Shuqing Zhang

^*Corresponding author for this work

Jilin University
CAS - Northeast Institute of Geography and Agricultural Ecology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposed an improved artificial immune recognition system (IAIRS). It takes multi-training that the affinity threshold scalar ATS is adjusted automatically instead of one shot training, and modifies the criterion of evolving memory cells pool that the affinity threshold AT is only calculated over all samples with the class as the training sample. The IAIRS algorithm is demonstrated on a number of benchmark data sets effectively.

Original language	English
Title of host publication	Proceedings of 2012 IEEE International Conference on Information Science and Technology, ICIST 2012
Pages	660-662
Number of pages	3
DOIs	https://doi.org/10.1109/ICIST.2012.6221728
State	Published - 2012
Externally published	Yes
Event	2012 IEEE International Conference on Information Science and Technology, ICIST 2012 - Wuhan, Hubei, China Duration: 23 Mar 2012 → 25 Mar 2012

Publication series

Name	Proceedings of 2012 IEEE International Conference on Information Science and Technology, ICIST 2012

Conference

Conference	2012 IEEE International Conference on Information Science and Technology, ICIST 2012
Country/Territory	China
City	Wuhan, Hubei
Period	23/03/12 → 25/03/12

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10.1109/ICIST.2012.6221728

Cite this

@inproceedings{a2432664fc50417c8b8ed9397ca79ef1,

title = "An improved artificial immune recognition system",

abstract = "This paper proposed an improved artificial immune recognition system (IAIRS). It takes multi-training that the affinity threshold scalar ATS is adjusted automatically instead of one shot training, and modifies the criterion of evolving memory cells pool that the affinity threshold AT is only calculated over all samples with the class as the training sample. The IAIRS algorithm is demonstrated on a number of benchmark data sets effectively.",

author = "Xiaoyang Fu and Shuqing Zhang",

year = "2012",

doi = "10.1109/ICIST.2012.6221728",

language = "英语",

isbn = "9781457703454",

series = "Proceedings of 2012 IEEE International Conference on Information Science and Technology, ICIST 2012",

pages = "660--662",

booktitle = "Proceedings of 2012 IEEE International Conference on Information Science and Technology, ICIST 2012",

note = "2012 IEEE International Conference on Information Science and Technology, ICIST 2012 ; Conference date: 23-03-2012 Through 25-03-2012",

}

Fu, X & Zhang, S 2012, An improved artificial immune recognition system. in Proceedings of 2012 IEEE International Conference on Information Science and Technology, ICIST 2012., 6221728, Proceedings of 2012 IEEE International Conference on Information Science and Technology, ICIST 2012, pp. 660-662, 2012 IEEE International Conference on Information Science and Technology, ICIST 2012, Wuhan, Hubei, China, 23/03/12. https://doi.org/10.1109/ICIST.2012.6221728

An improved artificial immune recognition system. / Fu, Xiaoyang; Zhang, Shuqing.
Proceedings of 2012 IEEE International Conference on Information Science and Technology, ICIST 2012. 2012. p. 660-662 6221728 (Proceedings of 2012 IEEE International Conference on Information Science and Technology, ICIST 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper proposed an improved artificial immune recognition system (IAIRS). It takes multi-training that the affinity threshold scalar ATS is adjusted automatically instead of one shot training, and modifies the criterion of evolving memory cells pool that the affinity threshold AT is only calculated over all samples with the class as the training sample. The IAIRS algorithm is demonstrated on a number of benchmark data sets effectively.

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Y2 - 23 March 2012 through 25 March 2012

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An improved artificial immune recognition system

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