Prediction and assessment of credit risk using an adaptive Binarized spiking marine predators’ neural network in financial sector
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17467-3.pdf
Reference47 articles.
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3. Wu X, Bai X, Qi H, Lu L, Yang M, Taghizadeh-Hesary F (2023) The impact of climate change on banking systemic risk. Econ Anal Policy 78:419–437
4. Roeder J, Palmer M, Muntermann J (2022) Data-driven decision-making in credit risk management: The information value of analyst reports. Dec Supp Systs 158:113770
5. Xie X, Zhang J, Luo Y, Gu J, Li Y (2023) Enterprise credit risk portrait and evaluation from the perspective of the supply chain. Int Trans Oper Res. https://doi.org/10.1111/itor.13257
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