HYBRID ALGORITHM OF PATTERN RECOGNITION AND ITS PROPER TIES


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Abstract

The technique of synthesis and analysis of hybrid algorithms pattern recognition, providing an effective utilization of aprioristic data on a kind of decision functions and information of training samples is considered. Their properties are investigated analytically by a method of statistical modeling.

References

  1. Parzen, E. On estimation of a probability densiny function an mode / E. Parzen // Annals of Mathematical Statistics. 1962. V ol. 33. P . 1065-1076.
  2. Надарая, Э. А. Непараметрические оценки кривой регрессии / З. А. Надарая // Тр . ВЦ АН ГССР. Вып. 5. 1965. С. 56-68.
  3. Lapko, A. V . Hybrid Systems of Рattern Recognition / A. V Lapko, V. A. Lapko // Рattern recognition and image analysis. 2008. V ol. 18. № 1. P . 7-13.
  4. Лапко, А. В. Имитационные модели неопределенных систем / А. В. Лапко. Новосибирск : Наука. 1993.

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Copyright (c) 2009 Lapko A., Lapko V.A., Sarenkov A.

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