Recurrent Algorithms of Structural Classification Analysis for Complex Organized Information

For the structural classification analysis of complex organized information, we propose to use recurrent algorithms of stochastic approximation type. We introduce classification quality functionals that depend on non-normalized and zero moments of probability distribution functions for the probabili...

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Veröffentlicht in:	Automation and remote control Jg. 79; H. 10; S. 1854 - 1862
Hauptverfasser:	Dorofeyuk, A. A., Bauman, E. V., Dorofeyuk, Yu. A., Chernyavskii, A. L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Moscow Pleiades Publishing 01.10.2018 Springer Nature B.V
Schlagworte:	Algorithms CAE) and Design Calculus of Variations and Optimal Control; Optimization Classification Computer-Aided Engineering (CAD Control Distribution functions Functionals Mathematics Mathematics and Statistics Mechanical Engineering Mechatronics Probability distribution functions Problems of Optimization and Simulation at Control of Development of Large-Scale Systems Robotics Systems Theory fuzzy classification fuzziness types piecewise approximation of complex functions recurrent algorithms stochastic approximation parameter structuring cluster analysis structural classification analysis of information
ISSN:	0005-1179, 1608-3032
Online-Zugang:	Volltext
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