Titlebook: Bio-Inspired Credit Risk Analysis; Computational Intell Lean Yu,Shouyang Wang,Ligang Zhou Book 2008 Springer-Verlag Berlin Heidelberg 2008

ACID

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書目名稱Bio-Inspired Credit Risk Analysis讀者反饋




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中古

Credit Risk Assessment Using a Nearest-Point-Algorithm-based SVM with Design of Experiment for Paramstory of financial institutions, some biggest failures were related to credit risk, such as the 1974 failure of Herstatt Bank (Philippe, 2003). In recent years, many financial institutions suffered a great loss from a steady increase of defaults and bad loans from their counterparties. So, for the c

半圓鑿

積云

Hybridizing Rough Sets and SVM for Credit Risk Evaluation new perspective. In the proposed system, original information table is firstly reduced by rough sets from two-dimensional (attribute dimension and object dimension) reduction (2D-Reduction) view, and then support vector machines are used to extract typical features and to filter its noise and thus

ESPY

A Least Squares Fuzzy SVM Approach to Credit Risk Assessmentnes. The fuzzy SVM (FSVM) was first proposed by Lin and Wang (2002) and it has more suitability in credit risk assessment. The main reason is that in credit risk assessment areas we usually cannot label one customer as absolutely good who is sure to repay in time, or absolutely bad who will default

噱頭

Evaluating Credit Risk with a Bilateral-Weighted Fuzzy SVM Modelrises and regulatory concerns, credit risk assessment is an area that has seen a resurgence of interest from both the academic world and the business community. Especially for credit-granting institutions, such as commercial banks and some credit card companies, the ability to discriminate faithful

lavish

藥物

deforestation

Credit Risk Analysis with a SVM-based Metamodeling Ensemble Approach to huge amount of losses. It is an even more important task today as financial institutions have been experiencing serious challenges and competition during the past decades. When considering the case regarding the application for a large loan, such as a mortgage or a construction loan, the lender

GEON