Fuzzy regression analysis using trapezoidal fuzzy numbers. In this paper, we propose a new method for constructing
linear fuzzy
regression using trapezoidal fuzzy numbers
Применение метода линейной регрессии для решения транспортных задач for solving problems by
linear regression using machine learning. A model has been created that predicts
Modeling and management of power supply enterprises' cash flows forecasting with the use of
linear and polynomial
regression has been developed. The study is based
Линейное пропорциональное Прокрустово преобразование в распознавании рукописных букв преобразованиями.The
linear proportional transformation of twodimensional matrices is developed
Experience in Statistical Forecasting of the Atmospheric Temperature) is considered. The problem is formulated as a task of
linear extrapolating a vector random sequence
Обзор инструментов для регрессионного анализа в R: от фундаментальных методов до нейронных сетей. In addition to basic
linear regression methods, more complex models are considered, including generalized
Analysis of dynamic of tropospheric ozone and nitrogen dioxide in the highest region of the Quito city was evaluated using the Spearman's Rho coefficient. Multiple
linear regression models were made for each