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Bio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yu, Lean Wang, Shouyang Lai, Kin Keung Li-Gang, Zhou |
| Copyright Year | 2008 |
| Abstract | Part I Credit Risk Analysis with Computational Intelligence: An Analytical Survey: Credit Risk Analysis with Computational Intelligence: A Review,- Part II Unitary SVM Models with Optimal Parameter Selection for Credit Risk Evaluation: Credit Risk Assessment Using a Nearest-Point-Algorithm-based SVM with Design of Experiment for Parameter Selection,- Credit Risk Evaluation Using SVM with Direct Search for Parameter Selection ,- Part III Hybridizing SVM and Other Computational Intelligent Techniques for Credit Risk Analysis: Hybridizing Rough Sets and SVM for Credit Risk Evaluation,- A Least Squares Fuzzy SVM Approach to Credit Risk Assessment,- Evaluating Credit Risk with a Bilateral-Weighted Fuzzy SVM Model,- Evolving Least Squares SVM for Credit Risk Analysis,- Part IV SVM Ensemble Learning for Credit Risk Analysis: Credit Risk Evaluation Using a Multistage Credit Risk Analysis with a SVM-based Metamodeling Ensemble Approach,- An Evolutionary-Programming-Based Knowledge Ensemble Model for Business Credit Risk Analysis,- An Intelligent-Agent-Based Multicriteria Fuzzy Group Decision Making Model for Credit Risk Analysis. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.beck-shop.de/fachbuch/inhaltsverzeichnis/9783540778028_TOC_001.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
