Selective and Heterogeneous SVM Ensemble for Demand Forecasting.
Yue LiuZhenjiang LiaoYafeng YinZaixia TengJunjun GaoBofeng ZhangPublished in: CIT (2010)
Keyphrases
- demand forecasting
- forecasting accuracy
- support vector
- support vector machine svm
- historical data
- training data
- support vector machine
- supply chain
- feature selection
- training set
- neural network
- neural network model
- support vector regression
- hybrid model
- random forests
- kernel function
- ensemble methods
- knn
- generalization ability
- water resources
- feature space
- random forest
- hyperplane
- bp neural network
- support vectors
- multiple kernel learning
- svm classifier
- training speed
- feature extraction
- classification accuracy