A Learning Automata Based Artificial Immune System for Data Classification

被引：0
|
作者：
Azandaryani, A. H. Momeni [1 ]
Meybodi, M. R. [1 ]
机构：
[1] Amirkabir Univ Technol, Dept Comp Engn & Informat Technol, Soft Comp Lab, Tehran, Iran
来源：
2009 14TH INTERNATIONAL COMPUTER CONFERENCE | 2009年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we propose an artificial immune system in which learning automata are used to adaptively determine the values of its parameters. Learning automata are used for altering the shape of receptor portion of antibodies to better complementarily match the confronted antigen. In order to show the effectiveness of the proposed artificial immune computer experiments have been conducted. The result of experimentations confirms the effectiveness of the proposed model.
引用
收藏
页码：529 / 534
页数：6
相关论文
共 50 条
  • [41] An artificial immune system for data analysis
    Timmis, J
    Neal, M
    Hunt, J
    BIOSYSTEMS, 2000, 55 (1-3) : 143 - 150
  • [42] Handling Imbalanced Data Classification Problem using Artificial Immune System with Mahalanobis Distance
    Jitkongchuen, Duangjai
    Sukpongthai, Warattha
    2019 20TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD), 2019, : 67 - 71
  • [43] Use of Cellular Automata to Create an Artificial System of Image Classification and Recognition
    Belan, Stepan
    Belan, Nikolay
    CELLULAR AUTOMATA, ACRI 2012, 2012, 7495 : 483 - 493
  • [44] Adaptive classification model based on artificial immune system for breast cancer detection
    Magna, G.
    Jayaraman, S. Velappa
    Casti, P.
    Mencattini, A.
    Di Natale, C.
    Martinelli, E.
    2015 18TH AISEM ANNUAL CONFERENCE, 2015,
  • [45] A cellular automata-based learning method for classification
    Wongthanavasu, Sartra
    Ponkaew, Jetsada
    EXPERT SYSTEMS WITH APPLICATIONS, 2016, 49 : 99 - 111
  • [46] A new classification system for autism based on machine learning of artificial intelligence
    Shahamiri, Seyed Reza
    Thabtah, Fadi
    Abdelhamid, Neda
    TECHNOLOGY AND HEALTH CARE, 2022, 30 (03) : 605 - 622
  • [47] Small-sample continual learning classification method with vaccine to update memory cells based on the artificial immune system
    Zhang, Hongli
    Jiang, Lunchang
    Jiao, Wenhui
    Liu, Shulin
    Xiao, Haihua
    BIOSYSTEMS, 2022, 220
  • [48] Intelligent classification system for cancer data based on artificial neural network
    Isa, NAM
    Hamid, NHA
    Sakim, HAM
    Mashor, MY
    Zamli, KZ
    2004 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2004, : 196 - 201
  • [49] Unsupervised Structure Damage Classification Based on the Data Clustering and Artificial Immune Pattern Recognition
    Chen, Bo
    Zang, Chuanzhi
    ARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS, 2009, 5666 : 206 - +
  • [50] An Artificial Immune System for Classification with Local Feature Selection
    Dudek, Grzegorz
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2012, 16 (06) : 847 - 860
12345