математична модель

The use of multi-winding or multi-phase synchronous machines makes it possible to improve electromagnetic compatibility with the power supply, ensure better operation in the case of faults in separate power channels, and improve the quality of electromagnetic torque in systems with semiconductor converters. The magnetic flux in hybrid-excited synchronous machines is formed by means of permanent magnets and an excitation winding. Such machines combine the advantages of permanent magnet synchronous machines with the ability to regulate the magnetic flux.

This article reviews the theoretical aspects of logistic regression for binary data classification, including data preparation processes, training, testing, and model evaluation metrics.

Requirements for input data sets are formulated, methods of coding categorical data are described, methods of scaling input features are defined and substantiated.

In this article, the mathematical justification of logistic regression as an effective and simple to implement method of machine learning is performed.

A review of literary sources was conducted in the direction of statistical processing, analysis and classification of data using the logistic regression method, which confirmed the popularity of this method in various subject areas.

A problem of navigation within large educational complexes has been identified, which poses a particular challenge for new students, visitors, and staff. It has been established that the implementation of augmented reality technologies considerably enhances the intuitiveness and usability of the navigation system. A comprehensive structural and mathematical model of the navigation system based on augmented reality technologies has been meticulously developed.

The paper presents a mathematical model of the stationary flow of natural gas in an inclined gas pipeline, which makes it possible to calculate the gas parameters (pressure, temperature, compressibility factor) in every cross-section of gas pipeline. An improved mathematical model is also proposed by the authors, which considers the change in the gas flowrate along the gas pipeline. Complex 1 characterizing the effect of frictional forces and pressure losses and Complex 2 determining the effect of flow velocity were proposed to confirm the need to use an improved mathematical model.

This article is devoted to the problem of using microwave radiation as a potentially effective method of cleaning wastewater from organic compounds. The problem of cleaning wastewater from organic contaminants in the food industry requires highly effective methods since protein compounds in wastewater can cause environmental hazards and complicate the cleaning process.

The authors consider the features of multi-agent modeling for traffic optimization in the central areas of cities. While evaluating the unique challenges associated with the high concentration of vehicles, pedestrians and historical buildings, the potential of multi-agent systems to effectively solve the problem of congestion, safety and quality of life in urban areas is investigated. The potential of multi-agent modeling in the context of traffic management in the central areas of the city allows us to identify the key challenges and opportunities.