Investigation of ways to accelerate the training of neural networks using genetic algorithms and the study of the dependence of the speed of genetic algorithms on the mutation rate. In this study, a program was implemented on the Unity graphics platform using genetic algorithms and mutations to determine their optimal coefficient. The experiment showed that the learning rate really depends on the mutation rate, and the highest learning rate was obtained at 5-7,5%.

Keywords: machine learning, deep learning, genetic algorithm, optimization, neural network, artificial neuron, mutation, artificial intelligence, non-player character, optimization

The article presents the study results of a soil-like fraction contamination at a landfill located on the territory of the Traktorozavodsky district of Volgograd with heavy metals. The soil-like fraction's pollution level was assessed using a cumulative chemical pollution index (Zc) and its modifications. It was determined that the contamination levels with heavy metals are dependent on a used cumulative chemical pollution index modification. The use of the average geometric values of a cumulative chemical pollution index (Zc) is preferred for a pollution assessment of a soil-like fraction. Because the pollution level of a studied soil-like fraction was assessed as hazardous, its use as a recultivation material can only be permitted after a detoxification.The main pollutants in the soil-like fraction are cadmium, copper, and nickel.

Keywords: landfills, soil-like fraction, heavy metals, pollution level

The assumptions of mathematical models for calculating the crack resistance of reinforced concrete structures are considered. For each of them, an analysis was carried out to determine whether they correspond to reality throughout the entire life cycle of the structure: from the hardening of the concrete mix to destruction. Based on the results of the analysis, it was proposed to use only one single calculation at the level of standards to assess the crack resistance of structures - according to the crack opening width, acrc. So, for example, at a certain value of acrc, the structure will still remain airtight (the cracks will be non-through), and if this value is exceeded, it will not. At the same time, the calculations already available in the norms for limiting permeability and the safety of reinforcement will still remain in demand. At the junction of the theory of damage accumulation and nonlinear fracture mechanics, a compressed algorithm is proposed for possibly taking into account the influence of cracks at all scale levels of the concrete structure, the key for which is the normalization of the statistical parameters of the distribution of discontinuities by diameters, lengths, openings, depths, directions, distances between discontinuities, etc.

Keywords: reinforced concrete, crack resistance, cracking moment, crack width, plasticity coefficient, damageability, non-linear fracture mechanics

English is an analytical language, so in English, the word order is important for understanding sentences and phrases. Practicing construpcting noun phrases with the correct order of adjective requires constant practice with feedback. As teachers' time for verifying assignments is limited, we propose to use a tutoring system, which can generate step-by-step feedback. It will help students develop the skill of arranging adjectives in the correct order.

Keywords: tutoring system, ontological modeling, natural language processing, English, adjective order, hypernyms, automated verification of the learners' answers

The urban environment is formed by anthropogenic and natural factors. The authors proposes consideration of the urban environment as a complex ecosystem, determined by urban planning elements. The quality of the urban environment determines the degree of favorableness in this environment and compliance with modern requirements and living conditions. The essential factors that determine the urban environment – technical, architectural, planning, engineering. Technical factors form the frame of the urban environment (constructive solutions). Architectural means determine the visual perception of the urban environment. Planning factors include methods of planning and development of the territory. Engineering factors ensure the development of engineering infrastructure. In addition, technological factors ensure the use of new smart technologies. Technogenic factors create negative external effects of the urban environment. The main condition for considering the urban environment as an ecosystem is the compliance of all urban planning decisions with environmental standards. The use of an integrated approach when changing the design solution of the urban environment makes it possible to rationally and effectively prevent and identify negative impacts.

Keywords: urban environment, environmental factor, ecosystem, integrated system, environmental standard

When building complex technical systems, as a rule, the resources of an existing system are used as a basis, which may be redundant due to the lack of a clear definition of what the system is needed for. This necessitates the determination of the system intended purpose, the selection of elements for its construction and management in the process of its operation, aimed at achieving the intended purpose and optimizing the resource support used to build the system. The paper proposes an approach to building a system based on the development of its functioning profile, which characterizes the achievement of its intended purpose, modeling the process of a complex technical system functioning and evaluating the effectiveness of the profile. The use of the proposed methodology will allow, at the stage of building a complex system, to improve the quality and efficiency of designing a complex technical system by taking into account the functional needs of the system, as well as determining the amount of resources required to fulfill them.

Keywords: profile, complex technical system, criticality, system design, system construction, control process automation, functions, tasks, resource

To analyze such significant indicator of the locomotive industry as the value of import customs payments, the dependence of the volume of import customs payments on weight, cost, weighted average rate and dollar exchange rate is examined. Mathematical modeling was carried out on the basis of monthly data during the period from 2019 up to 2021 of the volumes of customs payments and their parameters of the Group 86 of the Customs nomenclature of EAEU FEA "Railway locomotives or tram motor cars, rolling stock and their parts; track equipment and devices for railways or tram tracks and their parts; mechanical (including electromechanical) signaling equipment of all types". The interrelations of these variables are represented by a system of simultaneous structural equations. The import substitution trend developing in Russia implies strengthening the development of national industries and, accordingly, pursuing a customs policy that implies support for domestic producers and reduction of import supplies. Thus, it is relevant to determine the impact of various factors on the amount of customs duties levied by the customs authorities on foreign economic activity (FEA) participants in operations involving the import of spare parts and other goods for the locomotive building industry to make the right strategic decisions concerning customs restrictions on imports of goods of this industry.

Keywords: locomotive building industry, mathematical modeling, linear multiple regression, multicollinearity, system of simultaneous equations, identification, structural form of the model, reduced form of the model

The article discusses approaches to solving natural language processing problems such as extracting key concepts or terms, as well as semantic relationships between them to build data-driven IT solutions. The subject of the work is relevant due to the constant growth of volumes of low-structured and unstructured digital text. The extracted information can be used to improve numerous processes: automatic tagging, optimization of content search, construction of word clouds and navigation sections; furthermore, to create draft versions of dictionaries, thesauri, and even bases for expert systems.

Keywords: natural language processing, term, lemma, semantical relationship, statistical processing, machine learning, word2vec

The purpose of this article is to conduct a comparative analysis of methods for assessing the technical condition of buildings and structures. The article considers various approaches to assessing the technical condition of buildings and structures, reviews and compares methods, identifies key differences between the foreign approach and the domestic one. The review of methods for assessing the technical condition presented in the article allows us to conclude that a variety of methods can create certain difficulties when choosing and using them. The analysis of domestic and foreign experience has shown that the most popular today are systems for monitoring the technical condition of buildings and structures, involving a set of measures using modern assessment, modeling and forecasting technologies that allow obtaining operational information about the technical condition of buildings.

Keywords: physical wear, operation, technical condition assessment, monitoring, operational qualities, instrumental examination, expert-normative method, cost compensation method

The article presents a study aimed at developing methods and algorithms for analyzing spatial data for diagnosing the state of geosystems. It is shown that the combination of machine learning models into an ensemble makes it possible to increase the stability of the analyzing system: the accuracy of decisions made by the ensemble tends to tend to the accuracy of the most efficient monoclassifier of the system. The calculation and consolidation of territorial descriptors at the same time make it possible to reduce the dimensionality of the analyzed data, facilitate the allowable capacity of the machine learning model, increase its resistance to overfitting, and prevent a significant decrease in the classification accuracy within the framework of a specific problem being solved.

Keywords: metageosystems, spatial data, test sites, territorial descriptors, ensembles

The article presents a methodology for multivariate analysis of intercomponent relationships in geosystems, implemented on the basis of two strategies: the use of numerical, including statistical, methods to assess the degree of influence of various parameters on the state of the geosystem model and the use of simulation to assess the dynamic properties of geosystems and solve the problem of spatial forecasting . The algorithm for assessing the importance of geosystemic parameters makes it possible to evaluate the impact of various parameters on the target indicator in the framework of solving design problems. The concept of building simulation systems for solving the problem of assessing the dynamics and forecasting the development of metageosystems is characterized.

Keywords: metageosystems, spatial data, modeling, intercomponent connections

In modern conditions, the healthcare system is going through a stage of active implementation of information and analytical tools. In the regions contaminated with radionuclides as a result of the accident at the Chernobyl nuclear power plant, activities for the prevention, detection and management of cases of thyroid diseases are of particular importance. Modern formalized methods of analysis, such as methods for searching for association rules, clustering using self-organizing maps, have sufficient functionality and effectiveness to be introduced as sources of new knowledge about the signs of thyroid diseases. In this paper, the authors consider the stages and results of developing a software package for information and analytical support for the process of examining the thyroid gland using ultrasound.

Keywords: diversification of management, production diversification, financial and economic purposes of a diversification, technological purposes of ensuring flexibility of production

Global Positioning System (GPS) data acquisition devices have proven to be useful tools for collecting real-world motion data. The data collected by these devices provide valuable information when studying the vehicle movement parameters. For vehicle modeling, this data is invaluable for analyzing fuel consumption and vehicle performance. The study presents a methodology for developing the driving cycle of special cars, during which the speed profile of a particular type of vehicle is studied, loaded and processed, and noisy data is filtered for the purity of the experiment. The test data for severe operating conditions are analyzed. A city driving cycle has been developed for a special truck concrete mixer truck in the conditions of the city of Tyumen. Estimated fuel economy of the specified vehicle is estimated.

Keywords: driving cycle, fuel efficiency of concrete mixer truck, noisy data, data filtering, GLONASS/GPS

The article presents an approach to the development of a case-based decision support system for assessing the safety of a section of a city's transport system. To store the database of precedents, it is proposed to use an OWL ontology. The use of the ontological approach allows a more accurate interpretation of the subject area, and over time will expand and supplement information about the precedent. The precedent structure is defined. The ontology architecture is given: classes, properties and instances. An example of filling the ontology with precedents is given, using the example of the city of Volgograd. Measure of proximity to compare precedents is proposed. The procedure for adding new precedents to the knowledge base is considered. With the help of the developed decision support system, it is possible to assess the safety of both individual road sections and the entire transport infrastructure of the city.

Keywords: ontology, reasoning by precedents, transport, transport security

The article presents an analysis of existing methods for determining the stiffness parameters of bent reinforced concrete elements reinforced with external reinforcement based on carbon fibers. The results of comparing the results of the determination of stiffness by practical methods and laboratory tests are presented. As a result, general conclusions and recommendations were made for further research of this issue, as well as the general parameters of the carbon fiber-based reinforcement system needed to be taken into account.

Keywords: external reinforcement, carbon fiber, reinforcement, restoration