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Bio-Inspired Credit Risk Analysis
Computational Intelligence with Support Vector Machines
Lean Yu, Shouyang Wang, Kin Keung Lai, Ligang Zhou
Livre broché | Anglais
105,45 €
+ 210 points
Format
Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 244
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9783642096556
- Date de parution :
- 19-10-10
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 371 g
