Development of mathematical models of system for determi ing the optimal ob jects with multi-criterial parameters

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Date

2019

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.

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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

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