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.
| Mualliflar | Muhamediyeva, D.T., Sobirov, R.A., Egamberdiyev, N. |
|---|---|
| Jurnal | Ilim ha’m ja’miyet |
| Nashr sanasi | 2023-08-23 |
| Son | 3-1 |
| Betlar | 21-23 |
| Til | uz_Latn |
sun’iy intellekt, neyron to‘rlar, risk, kredit, bank, mijoz, klassifikasiya, baholash, aktivatsiya funksiyasi, искусственный интеллект, нейронные сети, риск, кредит, банк, клиент, классификация, оценка, функция активации, artificial intelligence, neural networks, risk, credit, bank, customer, classification, assessment, activation function
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