Synthesis of algorithms for multialternative recognition of patterns set by complex standard descriptions, given a class of unknown objects

G. V. Pevtsov; D. A. Kolisnichenko

doi:10.3103/S0735272705120046

Authors

G. V. Pevtsov Kharkiv, Ukraine
D. A. Kolisnichenko Kharkov, Ukraine

DOI:

https://doi.org/10.3103/S0735272705120046

Abstract

The paper represents an extension (to the case of possible presence of a class of unknown objects) of the formerly developed method of synthesis of algorithms for multialternative recognition of patterns represented by complex standard descriptions in the form of intervals of standard values and/or sets of standard values of pattern’s attributes.

References

PEVTSOV, G.V. Sintez baiesovskikh algoritmov mnogoalternativnogo raspoznavaniia obrazov, zadannykh slozhnymi etalonnymi opisaniiami. Radioelectron. Commun. Syst., v.46, n.1, p.58-63, 2003.

PEVTSOV, G.V.; LUPANDIN, V.A. Sintez algoritmov mnogoalternativnogo raspoznavaniia obrazov na osnove proverki slozhnykh statisticheskikh gipotez po kriteriiu maksimuma aposteriornoi veroiatnosti. Radioelectron. Commun. Syst., v.44, n.11, p.77-80, 2001.

LEVIN, B.R. Theoretical Principles of Statistical Radio-Engineering, Book 2 [in Russian]. Moscow: Sov. Radio, 1975.