On logical correction of pattern recognition algorithms

  • Authors:
  • L. A. Aslanyan;L. F. Mingo;J. B. Castellanos;V. V. Ryazanov;F. B. Chelnokov;A. A. Dokukin

  • Affiliations:
  • Institute for Informatics and Automation Problems, NAS Armenia, Yerevan, Armenia;Dpto. Organización y Estructura de la Información, Escuela Universitaria de Informática, Universidad Politécnica de Madrid, Madrid, Spain;Dpto. Inteligencia Artificial, Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain;Department of Mathematical Pattern Recognition and Methods of Combinatorial Analysis Computing Centre, Russian Academy of Sciences, Moscow, Russian Federation;Institute for Informatics and Automation Problems, NAS Armenia, Yerevan, Armenia;Dpto. Organización y Estructura de la Información, Escuela Universitaria de Informática, Universidad Politécnica de Madrid, Madrid, Spain

  • Venue:
  • ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
  • Year:
  • 2006

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Abstract

The paper is devoted to the description of new collective method for pattern recognition based on logical correction over set of methods of different nature. Output matrices of the methods are processed according to the potentiality principle which allows increasing of recognition reliability.