A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain.
Gang YaoXiaojian HuGuanxiong WangPublished in: Expert Syst. Appl. (2022)
Keyphrases
- supply chain
- prediction model
- evaluation method
- support vector machine svm
- objective function
- sensitivity analysis
- support vector machine
- evaluation model
- supply chain management
- ensemble learning
- bp neural network
- optimization method
- ls svm
- integrating multiple
- ensemble feature selection
- non stationary
- neural network
- decision making
- credit risk
- machine learning methods
- generalization ability
- prediction accuracy
- training samples
- dynamic programming
- training data
- feature extraction
- machine learning