
The article is devoted to the research of prospects of analysis techniques of enhancement of bor-rowers credit scoring at the expense of functionality application of artificial neural networks at the analysis of an external environment of borrowers (business environment). Application of essentially new model for an estimation of level of credit scoring would allow, in partnership with the state, to perform institutional modeling of a business environment, proceeding from the valid requirements of the real sector of economy.
Статья посвящена исследованию перспектив совершенствования методик анализа кредитоспособности заемщика за счет использования функционала искусственных нейронных сетей при анализе внешней среды заемщиков (бизнес-среды). Использование принципиально новой модели оценки уровня кредитоспособности позволит, в партнерстве с государством, осуществлять институциональное моделирование бизнес-среды, исходя из действительных потребностей реального сектора экономики.
БАНКИ, ГОСУДАРСТВО, БИЗНЕС, БИЗНЕС-СРЕДА, РИСКИ КРЕДИТОСПОСОБНОСТИ, ОЦЕНКА КРЕДИТОСПОСОБНОСТИ, НЕСТАНДАРТНОЕ СОБЫТИЕ, УПРАВЛЕНИЕ НАДЕЖНОСТЬЮ БАНКА, ИННОВАЦИОННОЕ РАЗВИТИЕ
БАНКИ, ГОСУДАРСТВО, БИЗНЕС, БИЗНЕС-СРЕДА, РИСКИ КРЕДИТОСПОСОБНОСТИ, ОЦЕНКА КРЕДИТОСПОСОБНОСТИ, НЕСТАНДАРТНОЕ СОБЫТИЕ, УПРАВЛЕНИЕ НАДЕЖНОСТЬЮ БАНКА, ИННОВАЦИОННОЕ РАЗВИТИЕ
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