A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem

Computers and Operations Research

Volumn 32, Issue 10, 2005, Pages 2561-2582

  Pendharkar, Parag C ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Artificial intelligence; Artificial neural networks; Bankruptcy prediction; Classification problem; Discriminant analysis; Genetic algorithms; Learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING; FINANCIAL DATA PROCESSING; GENETIC ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING; STATISTICAL METHODS;

BANKRUPTCY PREDICTION; CLASSIFICATION PROBLEM; DISCRIMINANT ANALYSIS; THRESHOLD-VARYING ARTIFICIAL NEURAL NETWORK (TV-ANN);

NEURAL NETWORKS;

EID: 13544265385     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2004.06.023     Document Type: Article

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