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Pattern recognition by primary and secondary response of an Artificial Immune System

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Summary

In this paper we show how an Artificial Immune System can be used to study pattern recognition processes and learning. In particular we show the ability of the model to discover and maintain coverage of the diverse patterns through mechanism of evolution and mutation.

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Authors and Affiliations

  1. Center for Applied Computer Science (ZPR/ZAIK), University of Cologne, Weyertal 80, D-50931, Köln, Germany

    F. Castiglione

  2. Department of Computer Science, University of Rome “La Sapienza”, Roma, Italy

    S. Motta & G. Nicosia

  3. Department of Mathematics and Computer Science, Catania, Italy

    S. Motta & G. Nicosia

Authors
  1. F. Castiglione
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  2. S. Motta
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  3. G. Nicosia
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Castiglione, F., Motta, S. & Nicosia, G. Pattern recognition by primary and secondary response of an Artificial Immune System. Theory Biosci. 120, 93–106 (2001). https://doi.org/10.1007/s12064-001-0010-3

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  • DOI: https://doi.org/10.1007/s12064-001-0010-3

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