Article

RABNET: a real-valued antibody network for data clustering

Authors:

Helder Knidel,

Leandro N. de Castro,

Fernando J. Von ZubenAuthors Info & Claims

GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation

Pages 371 - 372

https://doi.org/10.1145/1068009.1068068

Published: 25 June 2005 Publication History

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Abstract

This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demonstrates robustness in the initial experiments reported here for a benchmark problem. Comparisons with results from the literature are also provided. To automatically segment the resultant neurons at the output, a tool from graph theory was used with promising results. General discussions and avenues for future works are also provided.

References

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C. T. Zahn, (1971). "Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters. IEEE Trans. on Comp. C-20, 68--86.

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L. N. de Castro, F. J. Von Zuben, and G. A. de D. Júnior (2003), "The Construction of a Boolean Competitive Neural Network Using Ideas From Immunology", Neurocomputing, 50C, pp. 51--85.

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[4]

L. N. de Castro and F. J. Von Zuben, (2001), "Immune and Neural Network Models: Theoretical and Empirical Comparisons", International Journal of Computational Intelligence and Applications (IJCIA), 1(3), pp. 239--257.

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L. N. de Castro and J. Timmis, (2002). Artificial Immune Systems: A New Computational Intelligence Approach. Springer-Verlag.

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N. Kasabov, (2002). Evolving Connectionist Systems: Methods and Applications in Bioinformatics, Brain Study and Intelligent Machines, Springer Verlag.

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T. Kohonen, (2000). Self-Organizing Maps, Springer-Verlag, 3rd Ed.

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Cited By

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Huang WJiao L(2006)Unsupervised texture segmentation based on watershed and a novel artificial immune antibody competitive networkProceedings of the First Pacific Rim conference on Advances in Image and Video Technology10.1007/11949534_49(495-503)Online publication date: 10-Dec-2006
https://dl.acm.org/doi/10.1007/11949534_49
Bezerra GBarra TFerreira HKnidel Hde Castro LVon Zuben F(2006)An immunological filter for spamProceedings of the 5th international conference on Artificial Immune Systems10.1007/11823940_34(446-458)Online publication date: 4-Sep-2006
https://dl.acm.org/doi/10.1007/11823940_34

Index Terms

RABNET: a real-valued antibody network for data clustering
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis
    2. Machine learning approaches
      1. Neural networks

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Published In

GECCO '05: Proceedings of the 7th annual conference on Genetic and evolutionary computation

June 2005

2272 pages

ISBN:1595930108

DOI:10.1145/1068009

Editor:
Hans-Georg Beyer
Vorarlberg University of Applied Sciences, Austria
,
General Chair:
Una-May O'Reilly
CSAIL, MIT

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 June 2005

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GECCO05: Genetic and Evolutionary Computation Conference

June 25 - 29, 2005

Washington DC, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Huang WJiao L(2006)Unsupervised texture segmentation based on watershed and a novel artificial immune antibody competitive networkProceedings of the First Pacific Rim conference on Advances in Image and Video Technology10.1007/11949534_49(495-503)Online publication date: 10-Dec-2006
https://dl.acm.org/doi/10.1007/11949534_49
Bezerra GBarra TFerreira HKnidel Hde Castro LVon Zuben F(2006)An immunological filter for spamProceedings of the 5th international conference on Artificial Immune Systems10.1007/11823940_34(446-458)Online publication date: 4-Sep-2006
https://dl.acm.org/doi/10.1007/11823940_34

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A self-organizing neural network using ideas from the immune system to solve the traveling salesman problem

A system for detection of liver disorders based on adaptive neural networks and artificial immune system

Neuro-immune approach to solve routing problems

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