Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy

Neurocomputing

Volumn 73, Issue 10-12, 2010, Pages 2047-2060

  du Jardin, Philippe ^a  

^a EDHEC BUSINESS SCHOOL   (France)

Author keywords

Financial failure; Neural network; Variable selection

Indexed keywords

CLASSIFICATION METHODS; FINANCIAL FAILURE; FINANCIAL PROFILES; MODEL ACCURACY; PREDICTION ACCURACY; TYPE-I ERROR; VARIABLE SELECTION;

FINANCE; FORECASTING;

NEURAL NETWORKS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL SELECTION; CLASSIFICATION ALGORITHM; FINANCIAL MANAGEMENT; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 77952537146     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.11.034     Document Type: Article

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