Data Classification Based on a Modified Fuzzy Artificial Immune Network

苟世宁; 杜海峰; 栗茂林; 庄健

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Data Classification Based on a Modified Fuzzy Artificial Immune Network

更新时间：2025-12-08

- Data Classification Based on a Modified Fuzzy Artificial Immune Network
- Vol. 41, Issue 5, Pages: 585-588+620(2007)
- 作者机构：
  
  西安交通大学现代设计和转子轴承系统教育部重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP183
- Online First：10 May 2007，
  
  Published：2007
- 稿件说明：
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苟世宁, 杜海峰, 栗茂林, et al. Data Classification Based on a Modified Fuzzy Artificial Immune Network[J]. 2007, 41(5): 585-588+620.
DOI：

苟世宁, 杜海峰, 栗茂林, et al. Data Classification Based on a Modified Fuzzy Artificial Immune Network[J]. 2007, 41(5): 585-588+620. DOI：

摘要

针对现有人工免疫网络算法对先验知识应用不足的问题

提出一种基于模糊人工免疫网络的有监督学习数据分类方法.首先采用模糊C均值聚类算法为免疫网络提供疫苗(初始种群)

将此疫苗作为免疫网络的初始抗体群

种群再经过克隆选择、网络压缩、免疫成熟、记忆等算子的不断扩展和压缩

形成一个由浓缩后的训练数据构成的抗体网络

最终基于该抗体网络采用“邻近原则”构造分类器.由于各算子的协调作用

该方法能够在高浓缩率的情况下更好地代替样本空间.UCI(University of California

Irvine)数据集的仿真实验证明

与aiNet方法相比

该方法在分类准确率和数据浓缩率上分别高出7.26%和11.16%

而且更稳定、可靠.

Abstract

Based on fuzzy theory and artificial immune network

a new data classification method

named fuzzy artificial immune network classification(FAINC)

is put forward. In order to improve the convergence rate

fuzzy C mean clustering algorithm is employed to provide vaccines(initial population)for artificial immune network. The operators such as clonal selection

network compression

immune maturation and immune memory are explored. According to expanding and compressing the population of the network

a stable antibody network can be acquired. Namely

the antibody network represents the concentrated training data to construct the classificator. The simulation experiments of University of California

Irvine(UCI)data sets validate the higher classification accuracy

data enrichment

stability and reliability of FAINC than aiNet.

关键词

Keywords

references

刘红岩,陈剑,陈国青.数据挖掘中数据分类算法综述[J]. 清华大学学报(自然科学版), 2002,42(6):727-730.

Liu Hongyan, Chen Jian, Chen Guoqing. Review of classification algorithms for data mining [J]. Journal of Tsinghua University(Science and Technology), 2002,42(6):727-730.

Chiu Chaochang, Hsu P L. A constraint-based genetic algorithm approach for mining classification rules[J].IEEE Transactions on Systems, Man and Cybernetics,2005,32(2):205-220.

Rustkowski L. Adaptive probabilistic neural networks for pattern classification in time-varying environment [J].Neural Networks,2004,15(4):811-827.

Secker A, Freitas A A, Timmis J. AISEC: an artificial immune system for e-mail classification [C]∥Proceedings of 2003 Congress on Evolutionary Computation. Piscataway, USA: IEEE Press, 2003:131-138.

杜海峰,王孙安. 基于ART-人工免疫网络的数据浓缩方法研究[J]. 模式识别与人工智能,2001,14(4):401-405.

Du Haifeng, Wang Sun'an. Data enriching based on ART-artificial immune network [J]. Pattern Recognition and Artificial Intelligence, 2001,14(4):401-405.

Fu Dongmei, Zheng Deling. Designing and analysis of an immune controller based on the improvement VARELA immune network model [C]∥Proceedings of the Fourth International Conference on Machine Learning and Cybernetics. Piscataway, USA: IEEE Press, 2005: 1121-1126.

Castro L N, Zuben F J V. An evolutionary immune network for data clustering [C]∥Proceedings of the Sixth Brazilian Symposium on Neural Networks. Piscataway, USA: IEEE Press, 2000:84-89.

D'haeseleer P, Forrest S, Helman P. An immunological approach to change detection: algorithms, analysis and applications [C]∥Proceedings of the 1996 IEEE Symposium on Research in Security and Privacy. Piscataway, USA: IEEE Press, 1996:110-119.

焦李成,杜海峰. 人工免疫系统进展与展望[J]. 电子学报,2003,31(10):1540-1548.

Jiao Licheng, Du Haifeng. Development and prospect of the artificial Immune system[J]. Acta Electronica Sinica, 2003,31(10):1540-1548.

Timmis J, Neal M. A resource limited artificial immune system for data analysis [J]. Knowledge Based Systems, 2001,14(3/4):121-130.

谢明,杜海峰,焦李成. 一种用于数据聚类的进化模糊人工免疫网络[J]. 计算机科学,2004,31(10A):219-223.

Xie Ming, Du Haifeng, Jiao Licheng. A novel evolutionary fuzzy artificial immune network for data clustering[J]. Computer Science,2004,31(10A):219-223.

焦李成,杜海峰,刘芳, 等. 免疫优化计算、学习与识别[M]. 北京:科学出版社, 2006.

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