A hybrid support vector machines and logistic regression approach for forecasting intermittent demand of spare parts.
Zhongsheng HuaBin ZhangPublished in: Appl. Math. Comput. (2006)
Keyphrases
- logistic regression
- spare parts
- support vector
- inventory management
- learning machines
- support vector regression
- artificial neural network models
- decision trees
- supply chain
- loss function
- optimization model
- cross validation
- linear support vector machines
- total cost
- logistic regression models
- naive bayes
- classification accuracy
- supply chain management
- service level
- high availability
- linear svm
- feature selection
- kernel methods
- vehicle routing
- kernel function
- decision making
- cold standby
- multi item
- bayesian networks
- database