Development of mathematical models of system for determi ing the optimal ob jects with multi-criterial parameters
dc.contributor.author | Rayev Zh. | |
dc.date.accessioned | 2025-06-13T05:39:19Z | |
dc.date.available | 2025-06-13T05:39:19Z | |
dc.date.issued | 2019 | |
dc.description.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. | |
dc.identifier.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 | |
dc.identifier.uri | https://repository.sdu.edu.kz/handle/123456789/1765 | |
dc.language.iso | en | |
dc.publisher | Faculty of Engineering and Natural Sciences | |
dc.subject | parameters | |
dc.subject | Adaboost | |
dc.subject | Kendall’s correlation coefficient | |
dc.title | Development of mathematical models of system for determi ing the optimal ob jects with multi-criterial parameters | |
dc.type | Thesis |