Support vector machines for default prediction of SMEs based on technology credit

European Journal of Operational Research

Volumn 201, Issue 3, 2010, Pages 838-846

  Kim, Hong Sik ^a   Sohn, So Young ^a  

^a Yonsei University   (South Korea)

Author keywords

Default prediction model; Small and medium enterprises; Support vector machines

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; DEFAULT PREDICTION MODEL; ECONOMIC INDICATORS; FINANCIAL RATIOS; GOVERNMENTAL FUNDS; GROWTH POTENTIAL; INPUT VARIABLES; INVESTMENT DECISIONS; LOGISTIC REGRESSIONS; SCORING MODELS; SMALL AND MEDIUM ENTERPRISE; SMALL AND MEDIUM ENTERPRISES; SVM MODEL; TECHNOLOGY EVALUATION; TECHNOLOGY-BASED;

ECONOMICS; IMAGE RETRIEVAL; INVESTMENTS; MATHEMATICAL MODELS; NEURAL NETWORKS; ONLINE SEARCHING; TECHNOLOGY; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 70349453862     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2009.03.036     Document Type: Article

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