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Learning in Pattern Recognition

  • M. Petrou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1715)

Abstract

Learning in the context of a pattern recognition system is defined as the process that allows it to cope with real and ambiguous data. The various ways by which artificial decision systems operate are discussed in conjunction with their learning aspects.

Keywords

Membership Function Fuzzy System Decision Boundary Fuzzy Neural Network Combination Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • M. Petrou
    • 1
  1. 1.School of Electronic Engineering, Information Technology and MathematicsUniversity of SurreyGuildfordUK

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