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

dc.contributor.authorRayev Zh.
dc.date.accessioned2025-06-13T05:39:19Z
dc.date.available2025-06-13T05:39:19Z
dc.date.issued2019
dc.description.abstractThis 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.citationRayev 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.urihttps://repository.sdu.edu.kz/handle/123456789/1765
dc.language.isoen
dc.publisherFaculty of Engineering and Natural Sciences
dc.subjectparameters
dc.subjectAdaboost
dc.subjectKendall’s correlation coefficient
dc.titleDevelopment of mathematical models of system for determi ing the optimal ob jects with multi-criterial parameters
dc.typeThesis

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