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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.
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Add Bio-Inspired Credit Risk Analysis, 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. Especia, Bio-Inspired Credit Risk Analysis to the inventory that you are selling on WonderClubX
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Add Bio-Inspired Credit Risk Analysis, 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. Especia, Bio-Inspired Credit Risk Analysis to your collection on WonderClub |