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Analysis mhd solar activity using robust methods the Wolf number dynamics. This study is based on the use of adaptive regression modeling approach
Formation of regression model for analysis of complex systems using methodology of genetic algorithms of searching for non-linear regression models that express the relationship between these factors for a complex
Correlation and regression analysis of the volume of export of Russia in 2008-2017 namics over the past 10 years. Using the methods of multivariate statistical analysis, a model
The Study of Dynamic Parameters of Corporate Graphic Stations Using Methods of Adaptive Regression Multi-Parameter Modeling analysis may be performed using robust methods. For this purpose, one constructs mathematical models of TD
Enhancing heart disease prediction using gaussian process regression and sequential analysis for optimal sampling efficiency models to predict heart disease risk, and introduces sequence analysis to minimize sample collection
Boosted Ensemble of the Nadaraya-Watson estimators in regression task on the boundary of the feature space in regression task on the boundary as well as in the middle of the feature space.
On the statistical methods for the conclusion on the climate change the last 20 years is considered. As a scientific method the statistical theory of regression analysis
Analysis of The Development of Modern Pharmaceutical Industry.Analysis of The Development of Modern Pharmaceutical Industry.
Analysis of The Development of Modern Pharmaceutical IndustryAnalysis of The Development of Modern Pharmaceutical Industry
Optimal Trajectories Synthesis of a Mobile Robots Group Using Cartesian Genetic Programming is solved. The proposed algorithm uses numerical approach from the class of symbolic regression methods
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