Investigation of a New Artificial Immune System Model Applied to Pattern Recognition

  • Authors:
  • Jose Lima Alexandrino;Edson Costa de Barros Carvalho Filho

  • Affiliations:
  • Federal University of Pernambuco, Brazil;Federal University of Pernambuco, Brazil

  • Venue:
  • HIS '06 Proceedings of the Sixth International Conference on Hybrid Intelligent Systems
  • Year:
  • 2006

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Abstract

The discovery of new functionalities through the study of human physiology has contributed toward the evolution of Artificial Immune Systems. The present work investigates a new architecture through observations of natural immunological behavior, for which application to known algorithms contributed toward an improved performance. This paper considers a boarding where the antibodies are grouped in an organized way and from an evolutionary process the antibodies that belong to these groupings can improve the adaptive immune reply to a determined antigen. Thus, antibodies of the same class are in the same grouping. Others techniques were implemented such as Clonalg, MLP and K-NN to compare this new model.