Development of algorithm for implementation of methods to improve the quality of regression models used in design of technical systems
The article discusses the main advantages of mathematical modeling in the design of technical systems. The article describes the construction of regression models as one of the tools for solving optimization problems at the initial stages of design. An algorithm of new methods for improving the quality of regression models, achieved by detecting and eliminating gross errors in the initial experimental data, is presented.