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A new two-step approach for solving a control system synthesis problem by symbolic regression methods
Konstantinov S.V., Diveev A.I.
The problem of synthesizing a control system using symbolic regression methods is considered. A new
Analysis of The Development of Modern Pharmaceutical Industry.
Nosov V.V., Yalyalieva T.V., Murzina E.A.
The modern pharmaceutical industry is an objective indicator of the socio-economic development
Analysis of The Development of Modern Pharmaceutical Industry
Nosov V.V., Yalyalieva T.V., Murzina E.A.
The modern pharmaceutical industry is an objective indicator of the socio-economic development
Automatic Synthesis of Control for Multi-Agent Systems with Dynamic Constraints
Diveev A.I., Shmalko E.Yu.
synthesis is a synthesizing control function that depends on the current state of the object and provides
Identifying Factors Affecting the Activities of Technology Parks
Savenkova E.V., Bystryakov A.Y., Karpenko O.A., Blokhina T.K.
objective of the conducted research is identification of the factors influencing activity of science
Mathematical models identification of objects and processes by symbolic regression
Dang T.P., Diveev A., Sofronova E.
identification of objects and processes from experimental data is presented. It is shown, that in class
The integrals and integral transformations connected with the joint vector Gaussian distribution
Mukha, V. S., Kako, N. F.
estimations of the parameters of multidimensional regression objects in their finite
Methods of complex correlation and regression analysis of the functional condition in the body system
Chibisov S.M., Alexina L.A., Dementjeu M.V., Katinas G.S., Sorokin A.V.
The aim of the paper is to show the potentialities of the complex correlation and regression
Solution of the Problem of the Control System General Synthesis by Approximation of a Set of Extremals
Diveev A., Konstantinov S.
this control function into the right-hand part of differential equations of the control object model allows
Reinforcement Learning for Solving Control Problems in Robotics †
Diveev A., Sofronova E., Konstantinov S., Moiseenko V.
of an object along a given trajectory, machine learning control by symbolic regression is used. An example

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