Bank credit risk management through classification tree with neuron netsapplication

Kolodizev O. N.

Вісник економіки транспорту і промисловості, 2010, issue 31, 105-110

Abstract: In the article offered approach to perfection method of estimation of solvency of management borrowers-subjects by the trees of classifications and Neurons networks which have considerable advantages as compared to the coefficient estimation of solvency: the problem of interpretation of results of analysis decides, a methodical tool is comfortable in the use, economical, provides rapid treatment of analytical information, takes into account modern international practice of estimation, there is possibility of simultaneous estimation of quantitative and high-quality indexes.

Keywords: КРЕДИТНИЙ РИЗИК; ДЕРЕВО КЛАСИФіКАЦіЙ; НЕЙРОННі МЕРЕЖі; КРЕДИТОСПРОМОЖНіСТЬ ПОЗИЧАЛЬНИКА (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:scn:031720:15289640

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