Visualization and dynamic evaluation model of corporate financial structure with self-organizing map and support vector regression

Applied Soft Computing Journal

Volumn 12, Issue 8, 2012, Pages 2274-2288

  Chen, Mu Yen ^a  

^a NATIONAL TAICHUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Artificial neural networks; Financial bankruptcy; Self organizing map; Support vector regression

Indexed keywords

CORPORATE BEHAVIOR; DYNAMIC EVALUATION; DYNAMIC PATTERNS; EASE-OF-USE; FINANCIAL BANKRUPTCY; FINANCIAL INDICATOR; FINANCIAL STATEMENTS; FINANCIAL STRUCTURES; FUTURE TRENDS; LEARNING VECTOR QUANTIZATION ALGORITHMS; LISTED COMPANIES; NONSTATIONARY; PREDICTION ACCURACY; PREDICTION TECHNIQUES; PRINCIPLE COMPONENT ANALYSIS; SUPPORT VECTOR REGRESSION (SVR);

CONFORMAL MAPPING; FORECASTING; INDUSTRY; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; RESEARCH; STATISTICAL TESTS; VECTOR QUANTIZATION; VISUALIZATION;

FINANCE;

EID: 84861880826     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.03.046     Document Type: Article

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