Hybrid neural network models for bankruptcy predictions

Decision Support Systems

Volumn 18, Issue 1 SPEC. ISS., 1996, Pages 63-72

  Lee, Kun Chang ^a   Han, Ingoo ^b   Kwon, Youngsig ^c  

^a Kyonggi University   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^c Dongguk University   (South Korea)

Author keywords

Bankruptcy prediction; Hybrid neural network; Neural network; Unsupervised learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COMPUTER SIMULATION; GENETIC ALGORITHMS; LEARNING SYSTEMS; MODELS; PERFORMANCE; STATISTICAL METHODS;

ACCURACY; ADAPTABILITY; BANKRUPTCY PREDICTION; HYBRID NEURAL NETWORK; INDUCTIVE LEARNING; SELF ORGANIZING FEATURE MAP ASSISTED NEURAL NETWORK; SUPERVISED LEARNING; UNSUPERVISED LEARNING;

NEURAL NETWORKS;

EID: 0030241497     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-9236(96)00018-8     Document Type: Article

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