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Control System Synthesis by Means of Cartesian Genetic Programming of a directed graph. It also belongs to the methods of Symbolic Regression allowing to receive
Symbolic-Numeric Study of Geometric Properties of Adiabatic Waveguide Modes it possible to obtain symbolic or symbolic-numerical expressions for vector fields of guided modes. Making use
Integrative connection of mathematics and economics indicates the wide possibility of applying the methods and stages of the correlation and regression analysis
Using robust regression methods for improve the accuracy of the estimating of observational models parameters this problem is currently used methods of «Ridge regression» and «Regularization». The study our aims
The Comparison of Genetic Programming and Variational Genetic Programming for a Control Synthesis Problem on the Model "predator-victim"The work is devoted to the comparison of two methods of symbolic regression, a method of genetic
Improving reliability of aggregation, numerical simulation and analysis of complex systems by empirical dataThe paper considers a new approach of regression modeling that uses aggregated data presented
Unsupervised Machine Learning Control Techniques for Solving the General Synthesis of Control System Problem symbolic regression-based techniques for supervised and unsupervised learning. One of the challenges
Automatic approach to stabilization and control for multi robot teams by multilayer network operator robot teams. The approach is based on multilayer network operator method that belongs to a symbolic
Symbolic-Numerical Modeling of the Propagation of Adiabatic Waveguide Mode in a Smooth Waveguide Transition by the symbolic-numerical method, while the system is solved symbolically. The paper presents solutions
Обзор инструментов для регрессионного анализа в R: от фундаментальных методов до нейронных сетей. In addition to basic linear regression methods, more complex models are considered, including generalized
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