Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction.
Hyun-jung KimNam-Ok JoKyung-shik ShinPublished in: Expert Syst. Appl. (2016)
Keyphrases
- bankruptcy prediction
- artificial neural networks
- evolutionary optimization
- genetic algorithm
- financial data
- back propagation
- neural network
- financial ratios
- case study
- learning vector quantization
- data sets
- genetic algorithm ga
- multiple criteria linear programming
- parameter optimization
- computational intelligence
- information extraction
- long term
- decision trees
- social networks