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Volumn 39, Issue 10, 2012, Pages 9159-9165

Predicting financial distress of the South Korean manufacturing industries

Author keywords

Artificial intelligence methods; Financial distress forecasting; Financial distress predicting models; Radial basis function support vector machines

Indexed keywords

ARTIFICIAL INTELLIGENCE METHODS; ARTIFICIAL INTELLIGENCE TECHNIQUES; BOARD OF DIRECTORS; CLASSIFICATION ACCURACY; CUT-OFF VALUE; DECISION MAKERS; FINANCIAL DATA; FINANCIAL DISTRESS; FINANCIAL DISTRESS PREDICTION; FINANCIAL DISTRESS PREDICTION MODEL; FIRM VALUE; MANUFACTURING INDUSTRIES; PREDICTING MODELS; RADIAL BASIS FUNCTIONS;

EID: 84859213504     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.058     Document Type: Article
Times cited : (46)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.