Innovative Computational PSO-EBGWO-CatBoost Approach for Assessing Loan Risks
Loan risk evaluation is critical for the safety and expansion of financial institutions, but it poses substantial hurdles owing to the intricacy of the data involved. This paper provides an innovative computational approach, the Particle Swarm Optimization-Excited Binary Grey Wolf Optimization-CatB...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
International Information and Engineering Technology Association
2024
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| 主題: | |
| オンライン･アクセス: | http://ir.unimas.my/id/eprint/46892/1/ijsse_14.04_29.pdf http://ir.unimas.my/id/eprint/46892/ https://www.iieta.org/journals/ijsse/paper/10.18280/ijsse.140429 https://doi.org/10.18280/ijsse.140429 |
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