Feature Selection and Activity Prediction in Chinese Medicine Research Using a Hybrid Model GA-SVM.
Shaojie ZhangYannan ZhaoYixu SongJiaxin WangZehong YangPublished in: MLMTA (2006)
Keyphrases
- hybrid model
- feature selection
- support vector machine svm
- forecasting accuracy
- support vector machine
- artificial neural networks
- support vector
- genetic algorithm ga
- arima model
- feature extraction
- genetic algorithm
- support vector regression
- parameter optimization
- back propagation neural network
- hybrid models
- prediction accuracy
- knn
- text categorization
- feature selection algorithms
- svm classifier
- small sample
- fitness function
- ensemble classifier
- feature ranking
- kernel function
- generalization ability
- neural network
- prediction model
- radial basis function
- genetic programming
- simulated annealing
- machine learning
- feature subset
- text classification
- selected features
- feature set
- evolutionary algorithm
- feature space
- training data
- autoregressive conditional heteroscedasticity
- data sets
- image processing
- classification accuracy
- feed forward neural networks
- multi task
- k nearest neighbor