Efficiency mapping has an important place in examining the maximum efficiency distribution as well energy consumption of designed electric motors at torque and speed. Performing analysis all operating points with FEM motor design process requires high processing costs time. In this article, a machine learning-based multivariate polynomial regression estimation model was developed to overcome th...

Heat treatment is one of the essential technologies in industrial manufacturing, and carburization processes heat-treatment technology. With increase technological requirements production, optimization carburizing technology desired. However, most mechanism models are derived from material properties related physical principles, which involved huge amounts parameters. Some parameters (such as d...

The article considers an adaptive sequential nonparametric estimation of a multivariate regression with assigned mean integrated squared error (MISE) and minimax stopping time when the estimator matches performance oracle knowing all nuisance parameters functions. It is known that problem has no solution if belongs to Sobolev class differentiable What underlying smoother, say, analytic? shown i...