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ОСНОВНАЯ ПРОБЛЕМА ВЫЧИСЛИТЕЛЬНОЙ МАТЕМАТИКИ И ЕЕ СВЯЗЬ С ИСКУССТВЕННЫМ ИНТЕЛЛЕКТОМ
Дивеев А.И.
solution to the problem of finding a mathematical expression. It is proposed to use symbolic regression
Acceleration of the Multilayer Network Operator Method Using MPI for Mobile Robot Team Control Synthesis
Diveev A.I., Shmalko E.Yu., Zakharov D.N.
on multilayer network operator method that belongs to a symbolic regression class. Formations of multi
Binary variational genetic programming for the problem of synthesis of control system
Diveev A.I., Balandina G.I., Konstantinov S.V.
The paper describes a novel numerical symbolic regression method. It's called complete binary
Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming*
Diveev A., Sofronova E., Prisca D.M.C.
The paper continues the study of symbolic regression methods for control learning. The optimal
Comparing Recurrent Neural Networks and Symbolic regression methods
Chavush H.S., Zhavush K.S., Mendes F.N.
Neural Networks (RNNs) and Symbolic Regression methods. Our study seeks to illuminate the effectiveness
Automatic Solving of Stabilization System Synthesis Problem by the Network Operator Method ∗
Diveev A., Hussein O.
The work is devoted to application of the network operator method for solving the control system
Automatic Solving of Stabilization System Synthesis Problem by the Network Operator Method
Diveev A., Hussein O.
The work is devoted to application of the network operator method for solving the control system
Mathematical models identification of objects and processes by symbolic regression
Dang T.P., Diveev A., Sofronova E.
of numerical methods symbolic regression allows solving the identification problem and find not only the values
Synthesis of control for group of quadrotors in task of area monitoring
Diveev A.I., Ibadulla S.I., Konyrbaev N.B., Shmalko E.Y.
variational genetic algorithm and a symbolic regression method of variational analytic programming are used
Machine learning control based on approximation of optimal trajectories
Diveev A., Konstantinov S., Shmalko E., Dong G.
to solving a problem based on symbolic regression methods are considered. As a computational example, a

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