Development of mathematical models of system for determi ing the optimal ob jects with multi-criterial parameters
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Engineering and Natural Sciences
Abstract
This thesis is based on the construction of a mathematical:model for determining unknown parameters using multivariate regression analysis. Structured data are given for the derivation and elimination of significant factors and coefficients. Also, machine learning simple regression models are used for modelling. The results have been evaluated and shown for comparative purposes.
Description
Keywords
parameters, Adaboost, Kendall’s correlation coefficient
Citation
Rayev Zh / Development of mathematical models of system for determi ing the optimal ob jects with multi-criterial parameters / 6M060100 - Department of Mathematics and Natural Sciences / 2019