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A Comparison of Immune and Neural Computing for Two Real-Life Tasks of Pattern Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3239))

Abstract

This paper compares a new Immunocomputing (IC) approach with Artificial Neural Networks (ANN). We compare an IC algorithm of pattern recognition with Error Back Propagation (EBP) network. The comparison includes two real-life tasks of environmental monitoring and laser physics.

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© 2004 Springer-Verlag Berlin Heidelberg

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Tarakanov, A.O., Tarakanov, Y.A. (2004). A Comparison of Immune and Neural Computing for Two Real-Life Tasks of Pattern Recognition. In: Nicosia, G., Cutello, V., Bentley, P.J., Timmis, J. (eds) Artificial Immune Systems. ICARIS 2004. Lecture Notes in Computer Science, vol 3239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30220-9_20

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  • DOI: https://doi.org/10.1007/978-3-540-30220-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23097-7

  • Online ISBN: 978-3-540-30220-9

  • eBook Packages: Springer Book Archive

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