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Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm

Authors:

Andrew Watkins,

Lois BoggessAuthors Info & Claims

Genetic Programming and Evolvable Machines, Volume 5, Issue 3

Pages 291 - 317

https://doi.org/10.1023/B:GENP.0000030197.83685.94

Published: 01 September 2004 Publication History

Abstract

This paper presents the inception and subsequent revisions of an immune-inspired supervised learning algorithm, Artificial Immune Recognition System (AIRS). It presents the immunological components that inspired the algorithm and describes the initial algorithm in detail. The discussion then moves to revisions of the basic algorithm that remove certain unnecessary complications of the original version. Experimental results for both versions of the algorithm are discussed and these results indicate that the revisions to the algorithm do not sacrifice accuracy while increasing the data reduction capabilities of AIRS.

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Cited By

Cutello VPavone MZito F(2024)Improving an immune-inspired algorithm by linear regressionKnowledge-Based Systems10.1016/j.knosys.2024.112034299:COnline publication date: 5-Sep-2024
https://dl.acm.org/doi/10.1016/j.knosys.2024.112034
Huang HYan MYan QZhang X(2024)Research and Implementation of a Classification Method of Industrial Big Data for Security ManagementTransactions on Emerging Telecommunications Technologies10.1002/ett.7002135:11Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1002/ett.70021
Yusupova NBogdanova DNuriakhmetov A(2023)Assessing the Quality of Customer Service Based on the Emotional Satisfaction of Clients Using Artificial Immune System TechnologiesPattern Recognition and Image Analysis10.1134/S105466182303049533:3(544-554)Online publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1134/S1054661823030495
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Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning

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Published In

cover image Genetic Programming and Evolvable Machines

Genetic Programming and Evolvable Machines Volume 5, Issue 3

September 2004

67 pages

ISSN:1389-2576

Issue’s Table of Contents

Copyright © Copyright © 2004 Kluwer Academic Publishers.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 September 2004

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Cited By

Cutello VPavone MZito F(2024)Improving an immune-inspired algorithm by linear regressionKnowledge-Based Systems10.1016/j.knosys.2024.112034299:COnline publication date: 5-Sep-2024
https://dl.acm.org/doi/10.1016/j.knosys.2024.112034
Huang HYan MYan QZhang X(2024)Research and Implementation of a Classification Method of Industrial Big Data for Security ManagementTransactions on Emerging Telecommunications Technologies10.1002/ett.7002135:11Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1002/ett.70021
Yusupova NBogdanova DNuriakhmetov A(2023)Assessing the Quality of Customer Service Based on the Emotional Satisfaction of Clients Using Artificial Immune System TechnologiesPattern Recognition and Image Analysis10.1134/S105466182303049533:3(544-554)Online publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1134/S1054661823030495
Li DGong LLiu SSun XGu MQian K(2022)Continual learning classification method with single-label memory cells based on the intelligent mechanism of the biological immune system Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-21222642:4(3975-3991)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/JIFS-212226
Sun XWang HLiu SLi DXiao H(2022)Self-updating continual learning classification method based on artificial immune systemApplied Intelligence10.1007/s10489-021-03123-652:11(12817-12843)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s10489-021-03123-6
Nebili WFarou BSeridi H(2020)Background subtraction using Artificial Immune Recognition System and Single Gaussian (AIRS-SG)Multimedia Tools and Applications10.1007/s11042-020-08935-179:35-36(26099-26121)Online publication date: 1-Sep-2020
https://dl.acm.org/doi/10.1007/s11042-020-08935-1
Jenhani IElhassan ABen Brahim G(2020)A novel possibilistic artificial immune-based classifier for course learning outcome enhancementKnowledge and Information Systems10.1007/s10115-020-01465-062:9(3535-3563)Online publication date: 1-Sep-2020
https://dl.acm.org/doi/10.1007/s10115-020-01465-0
Xie JWu ZXia QDing LFujita H(2020)The Differential Feature Detection and the Clustering Analysis to Breast CancersTrends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices10.1007/978-3-030-55789-8_40(457-469)Online publication date: 22-Sep-2020
https://dl.acm.org/doi/10.1007/978-3-030-55789-8_40
Lahsoumi AElouedi Z(2019)Evidential Artificial Immune Recognition SystemKnowledge Science, Engineering and Management10.1007/978-3-030-29551-6_57(643-654)Online publication date: 28-Aug-2019
https://dl.acm.org/doi/10.1007/978-3-030-29551-6_57
Ahmad WNarayanan A(2018)Time series data analysis using Artificial Immune SystemIntelligent Decision Technologies10.3233/IDT-17031512:2(119-135)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.3233/IDT-170315
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