title: Application of methods of neural networks in the analysis of the market of mortgage housing loan
abstract: 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 re
journal: International Journal of Emerging Trends in Engineering Research