SUN’IY INTELLEKT TEXNOLOGIYALARINI KREDIT RISKINI BAHOLASH UCHUN QO’LLASH

Authors

  • D.T. Muhamediyeva

    “Toshkent irrigatsiya va qishloq xo‘jaligini mexanizatsiyalash muhandislari instituti” Milliy tadqiqot universiteti

  • R.A. Sobirov

    “Toshkent irrigatsiya va qishloq xo‘jaligini mexanizatsiyalash muhandislari instituti” Milliy tadqiqot universiteti

  • N. Egamberdiyev

    Tashkent University of Information Technology image/svg+xml

Keywords: artificial intelligence, neural networks, risk, credit, bank, customer, classification, assessment, activation function

Abstract

In the research work, a model for assessing is proposed the creditworthiness of bank customers; it is proposed to build a classification and evaluation model of intellectual analysis of creditworthiness of bank customers based on a multi-layer neural network algorithm; an algorithm for determining and evaluating the creditworthiness of bank customers has been developed using multi-layer neural networks.

References

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