Diagnosing Anorexia Based on Partial Least Squares, Back Propagation Neural Network, and Support Vector Machines.
C. Y. ZhaoRuisheng ZhangHuanxiang LiuC. X. XueS. G. ZhaoX. F. ZhouMancang LiuBo Tao FanPublished in: J. Chem. Inf. Model. (2004)
Keyphrases
- partial least squares
- back propagation neural network
- ls svm
- support vector
- support vector regression
- dimension reduction
- generalization ability
- discriminant analysis
- rbfnn
- cross validation
- hybrid model
- support vector machine
- prediction model
- neural network
- classification accuracy
- factor analysis
- svm classifier
- kernel function
- hyperparameters
- linear discriminant analysis
- principal component analysis
- least squares
- model selection
- variable selection
- feature selection
- correlation coefficient
- high dimensional
- pattern recognition
- input variables
- feature extraction
- face recognition
- genetic algorithm