| 期刊全称 | Bio-Inspired Credit Risk Analysis | | 期刊简称 | Computational Intell | | 影响因子2023 | Lean Yu,Shouyang Wang,Ligang Zhou | | 视频video | | | 发行地址 | Presentation of some of the most important advancements in credit risk analysis with SVM and some fully novel intelligent models for credit risk analysis.Includes supplementary material: | | 图书封面 |  | | 影响因子 | .Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.. | | Pindex | Book 2008 |
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发表于 2025-3-21 19:25:31
