Construction of Long-Distance Oil Pipelines

The article analyzes the state of the mortgage lending market in the Russian Federation. The classification of regions by indicators characterizing the mortgage lending market is given. The factors affecting the state of the mortgage lending market are studied. A forecast for 12 months is proposed. The methods of neural networks were used as the main analysis methods. In particular, the paper presents examples of the use of neural networks for classifying, evaluating factors, and constructing regression models. The choice of this technology is due to the fact that over the past few years, interest in the use of neural networks in the study of statistical data, analysis and forecasting has increased significantly. Such popularity is due to the fact that neural networks significantly complement the usual traditional statistical methods of data analysis, which can be used to build complex nonlinear models and dependencies. The article is intended for researchers in the mortgage market who want to get acquainted with the use of neural network technology for analyzing the mortgage market.

Section: Methodsmentioning

confidence: 99%

Application of methods of neural networks in the analysis of the market of mortgage housing loan

2020

“…As the most promising approaches to development of assessment of labor potential should highlight the qualitative analysis of natural and mechanical movement of labor resources at the regional level [1,4], structural [2,10] and quantitative assessment of labor potential of the region based on total fund of working time [11], integrated assessment of labor potential [8]. This study of the labor potential of the Volga Federal district regions is based on the method of integrated assessment, as the most appropriate to the tasks, since this method involves a quantitative assessment of labor potential, taking into account the influence of quality indicators based on the use of the index method [12,13,14]. In the developed method of integrated assessment of the labor potential of the region's economy clustering the following key elements are identified: the integral index of labor potential for clustering the region's economy (IILPC) and the partial indexes of labor potential that form integral index.…”

Section: Methodsmentioning

confidence: 99%

Innovative engineering tools for clustering production

2020

The article deals with methodological problems of assessing the Innovative engineering tools for clustering production, the subject of the study is the potential of clustering. The author suggests method of assessing potential of clustering on the basis of the integral index (IILPC) and the private indexes innovative engineering tools for clustering production. The demographic situation is considered as a factor in the development of Innovative engineering tools for clustering production systems in the long term, the main trends and problems are highlighted. A list of indicators for characterizing the region's tools for clustering production market in terms of labor migration and labor market tensions was created, and an assessment of the labor tools for clustering production in the regions. Based on the values of the integral index of tools for clustering production potential of clustering, the author makes recommendations for implementation of state clustering production policy.

“…Possibilities of application of foreign experience in operational activity of the enterprises-stakeholders of construction in modern management conditions are analyzed in articles [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Innovative Technology for Management Tools of Commercial Real Estate in Construction

2020

This article is devoted to the development and application of innovative universal technology for management tools of commercial real estate (CRE). This technology is substantiated a new and productive system of regulation of enterprises participating in the construction and investment process. This approach is suitable for management tools of any type of CRE and integrates into a single system the factors of influence, bases, methods and procedures. Operational technology of multicriteria analysis of management decisions on the operational activities of enterprises is applied to the lifecycle of servicing and the environment of stakeholders CRE as a temporary enterprise based on the implementation of qualimetric approach. The technology and tools together create a methodological and scientific basis for regulating the operational activities of a servicing company or real estate management company (REMC), which administers investment and construction projects (individual objects and commercial buildings) and as a new type of developer in a single cycle of servicing regulates the interaction of institutional participants and stakeholder enterprises (performers), ensuring compliance with the economic, budgetary and administrative characteristics of the surveying cycle as an object of construction and profitable operation, investment and commodity-property complex.