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METHOD OF BINARY ANALYTIC PROGRAMMING TO LOOK FOR OPTIMAL MATHEMATICAL EXPRESSIONIn the known methods of symbolical regression by search of the solution with the help of a genetic
Binary variational genetic programming for the problem of synthesis of control systemThe paper describes a novel numerical symbolic regression method. It's called complete binary
Acceleration of the Multilayer Network Operator Method Using MPI for Mobile Robot Team Control Synthesis on multilayer network operator method that belongs to a symbolic regression class. Formations of multi
Numerical Method of Synthesized Control for Solution of the Optimal Control Problem of the contraction mapping the evolutionary method of symbolical regression is used. Numerical examples
Synthesis of control for group of quadrotors in task of area monitoring variational genetic algorithm and a symbolic regression method of variational analytic programming are used
Machine learning control based on approximation of optimal trajectories to solving a problem based on symbolic regression methods are considered. As a computational example, a
Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming*The paper continues the study of symbolic regression methods for control learning. The optimal
Reinforcement Learning for Solving Control Problems in Robotics † of an object along a given trajectory, machine learning control by symbolic regression is used. An example
ОСНОВНАЯ ПРОБЛЕМА ВЫЧИСЛИТЕЛЬНОЙ МАТЕМАТИКИ И ЕЕ СВЯЗЬ С ИСКУССТВЕННЫМ ИНТЕЛЛЕКТОМ solution to the problem of finding a mathematical expression. It is proposed to use symbolic regression
Comparing Recurrent Neural Networks and Symbolic regression methods Neural Networks (RNNs) and Symbolic Regression methods. Our study seeks to illuminate the effectiveness
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