Mathematical Models of Effective Topology of Computer Networks for Electric Power Supply Control on Railway Transport

The paper is devoted to analysis of modern directions of innovation-investment formation of intelligent computer networks that control the fast-moving technological processes of electricity supply. It is based on the conclusion that the problem of increasing the productivity of information exchange between information resources and consumers is dominant. A method for increasing the efficiency of information exchange is proposed as a search for the rational location of a new node and the organization of such a set of its connections among the whole set of nodes of the computer network, which provides a minimum average topological distance. Mathematical models of effective topological organization of connections in computer network of power consumption control at the level of traction substations, electric power distances and the railway in general are proposed.

Adaptive algorithms for researching problems in a variable computer environment

The paper considers tools for studying computer models of problems in modeling physical and technical processes. Adaptive algorithms for studying structural and mathematical properties and solving problems in a variable computer environment are presented. The proposed innovative functionality is integrated into the intelligent computer mathematics system.

CONTRIBUTION OF AI TO THE CONSTRUCTION WORLD

Artificial intelligence is a department of computer science and information technological know-how, involved in the research, layout, and application of intelligent computer. Conventional techniques for modeling and optimizing complicated structure systems require big amounts of computing assets, and artificial-intelligence-primarily based solutions can frequently provide treasured alternatives for successfully solving problems inside the civil engineering. This paper summarizes currently evolved methods and theories within the growing path for programs of synthetic intelligence in civil engineering, such as evolutionary computation, neural networks, fuzzy systems, professional machine, reasoning, type, and learning, in addition to others like chaos theory, cuckoo seek, firefly algorithm, know-how-based engineering, and simulated annealing. The primary studies tendencies are also talked about in the end. The paper presents an overview of the advances of synthetic intelligence carried out in civil engineering.

Intelligent soft package for modeling optimization processes for managing the activities of the Bank's retail unit

Currently, one of the main directions in the field of banking process automation is the creation and implementation of integrated management decision support systems. In the context of growing competition and general digitalization of the economy, the issue of improving the efficiency of bank management is most acute. Most of the automated systems used in this area are aimed at identifying "gaps" in existing business processes and further optimizing their individual parts. Moreover, such systems are not based on economic and mathematical models and algorithms for their solution. This article presents a description of an intelligent computer software package that allows you to simulate the optimization of software and adaptive management of specific business processes - managing the number of personnel and the sales system of the retail block of a commercial bank. The basis of the developed software package is a discrete dynamic economic and mathematical model of the investigated business processes and the developed optimization algorithms for software and adaptive control of these processes. The process of making decisions on the recruitment/reduction of the staff of various categories of employees of the Retail block of a commercial bank, as well as on the management of the sales system provided by the relevant employees. The paper presents the main stages of creating the proposed controlled dynamic model with a vector quality criterion. Based on computer modeling with the help of the developed intelligent computer software complex, the results of optimal solutions for various options for practical examples were obtained. The results are graphically illustrated and analyzed. Based on the proposed dynamic model, it is possible to solve other problems of optimizing software and adaptive management of processes that determine banking activities and develop automated information systems for implementing support for managerial decision-making in this area.

The method of student's query analysis while intelligent computer tutoring in SQL

Recently, IT specialties have become one of the most demanded specialties in the world labor market. Simultaneously the traditional teaching in conditions of mass production, even with a professional teacher, has a significant drawback – the fundamental impossibility of adapting to each student. Since the 60s of the twentieth century, researchers worldwide have been developing various computer-tutoring tools that have, less or more, adaptive functions. Nevertheless, the task of the perfect computer tutor development is still far from being solved. The article's research subject is the process of student requests analyzing during intelligent computer tutoring in SQL. The main goal is to develop a method for analyzing the student's SQL queries. The purposes: to form a general scheme and features of the method for analyzing student’s SQL queries based on the principles of technical diagnostics and methods of lexical, syntactic analysis of computer programs; to develop methods for parse tree construction; to create methods for comparing reference and real SQL queries according to their similarity rate; to demonstrate the function ability of the developed methods on specific examples. The methods used computer programs the automatic testing method, the computer programs lexical and syntactic analysis methods, the computer programs parsing trees construction methods, the objects diagnosing method based on comparison with a reference, the strings analysis methods, the method of q-grams. The following results were obtained: the student’s SQL queries analysis method was formed based on a system approach including automatic testing on real data, building query-parsing trees, comparison with a reference, and comprehensive determination of the queries similarity rate. The scientific novelty is the improvement of the method for the student's SQL query analysis during intelligent computer training in SQL query composition.