Ilim ha’m ja’miyet Issue 3-1 (2023) · pp. 21-23

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

Muhamediyeva, D.T., Sobirov, R.A., Egamberdiyev, N.

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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.

sun’iy intellektneyron to‘rlarriskkreditbankmijozklassifikasiyabaholashaktivatsiya funksiyasiискусственный интеллект

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Cite

APA 7 
Muhamediyeva, D.T., Sobirov, R.A. & Egamberdiyev, N. (2023). SUN’IY INTELLEKT TEXNOLOGIYALARINI KREDIT RISKINI BAHOLASH UCHUN QO’LLASH. Ilim ha’m ja’miyet, (3-1), 21-23.
GOST R 7.0.5 
Muhamediyeva, D.T., Sobirov, R.A., Egamberdiyev, N. SUN’IY INTELLEKT TEXNOLOGIYALARINI KREDIT RISKINI BAHOLASH UCHUN QO’LLASH // Ilim ha’m ja’miyet. 2023. № 3-1. С. 21-23.
BibTeX 
@article{d.t.2023,
  author  = {Muhamediyeva, D.T. and Sobirov, R.A. and Egamberdiyev, N.},
  title   = {SUN’IY INTELLEKT TEXNOLOGIYALARINI KREDIT RISKINI BAHOLASH UCHUN QO’LLASH},
  journal = {Ilim ha’m ja’miyet},
  year    = {2023},
  number  = {3-1},
  pages   = {21-23}
}
RIS 
TY  - JOUR
AU  - Muhamediyeva, D.T.
AU  - Sobirov, R.A.
AU  - Egamberdiyev, N.
TI  - SUN’IY INTELLEKT TEXNOLOGIYALARINI KREDIT RISKINI BAHOLASH UCHUN QO’LLASH
JO  - Ilim ha’m ja’miyet
PY  - 2023
IS  - 3-1
SP  - 21
EP  - 23
ER  -