Abstract
The authors consider the problem of recognition of a class of objects by the results of multispectral measurements (spectral brightness of signals) and available spectral and statistical characteristics of the given classes. On the basis of probabilistic and statistical considerations, as well as quantization of continuous distributions, the heuristic recognition criterion is proposed. Based on the criterion, the heuristic method of recognition is presented. Modifications of the method are proposed to improve its reliability and efficiency.
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I. N. Kovalenko, Probability Calculation and Optimization [in Russian], Naukova Dumka, Kyiv (1989).
A. N. Kolmogorov, Selected Scientific Works, Vol. 2, Probability Theory and Mathematical Statistics [in Russian], Mat. Institut im. V. A. Steklova RAN, Nauka, Moscow (2005).
B. V. Gnedenko, A Course in Probability Theory [in Russian], Nauka, Moscow (1988).
P. S. Knopov and E. J. Kasitskaya, Empirical Estimates in Stochastic Optimization and Identification, Kluwer Acad. Publ., New York (2002).
A. R. Webb and K. D. Copsey, Statistical Pattern Recognition, John Wiley, New York (2011).
V. N. Vapnik, Statistical Learning Theory, Wiley, New York (1998).
A. I. Arkhipov, E. E. Bayadilov, and V. N. Chubarikov, “About Carlson’s abscissa in the moment problem of the Riemann zeta function,” Doklady RAN, Vol. 392, No. 1, 10–11 (2003).
V. I. Lyal’ko and M. A. Popov (eds.), Satellite Methods of Mineral Exploration [in Russian], Karbon-Ltd, Kyiv (2012).
N. M. Glazunov, “Arithmetic modeling of random processes and r-algorithms,” Cybern. Syst. Analysis, Vol. 48, No. 1, 17–25 (2012).
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Translated from Kibernetika i Sistemnyi Analiz, No. 1, January–February, 2018, pp. 105–110
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Arkhipov, A.I., Glazunov, N.M. & Khyzhniak, À.V. Heuristic Criterion for Class Recognition by Spectral Brightness. Cybern Syst Anal 54, 94–98 (2018). https://doi.org/10.1007/s10559-018-0010-7
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DOI: https://doi.org/10.1007/s10559-018-0010-7