This is a preview of subscription content, log in to check access.
Buy single article
Instant access to the full article PDF.
Price includes VAT for USA
Subscribe to journal
Immediate online access to all issues from 2019. Subscription will auto renew annually.
This is the net price. Taxes to be calculated in checkout.
V. Ya. Katkovnik, “Method of averaging operators in iterative algorithms for solving stochastic extremal problems,” Kibernetika, No. 3 (1972).
G. E. Antonov and V. Ya. Katkovnik, “Synthesis method for a class of random-search algorithms,” Avtomat i Telemekhan, No. 6 (1971).
V. Ya. Katkovnik and O. Yu. Kulchitskii, “Convergence of a class of random-search algorithms,” in: Theory and Application of Adaptive Systems [in Russian], Alma-Ata (1971).
Yu. M. Ermol'ev, “Method of generalized stochastic gradients and stochastic quasi-Fejer sequences,” Kibernetika, No. 2 (1969).
O. V. Guseva, “Rate of convergence of the method of generalized stochastic gradients,” Kibernetika, No. 4 (1971).
M. A. Aizerman, É. M. Braverman, and L. I. Rozanoer, Method of Potential Functions in the Theory of Machine Learning [in Russian], Nauka, Moscow (1971).
M. T. Wasan, Stochastic Approximation, Cambridge University Press (1969).
Translated from Kibernetika, No. 2, pp. 115–118, March–April, 1974.
About this article
Cite this article
Katkovnik, V.Y., Ovcharova, L.V. Convergence and rate of convergence for the method of parametric statistical gradients. Cybern Syst Anal 10, 325–329 (1974). https://doi.org/10.1007/BF01068955
- Operating System
- Artificial Intelligence
- System Theory
- Statistical Gradient