Comparative Study of QSAR/QSPR Correlations Using Support Vector Machines, Radial Basis Function Neural Networks, and Multiple Linear Regression.
Xiaojun YaoAnnick PanayeJean-Pierre DoucetRuisheng ZhangHaifeng ChenMancang LiuZhide HuBo Tao FanPublished in: J. Chem. Inf. Model. (2004)
Keyphrases
- comparative study
- radial basis function neural network
- multiple linear regression
- drug discovery
- rbfnn
- regression model
- pattern classification
- software reliability
- radial basis function
- input variables
- multilayer perceptron
- back propagation
- rbf neural network
- neural network
- function approximation
- rbf network
- basis functions
- hybrid method
- reinforcement learning
- generalization ability
- dimension reduction
- hidden layer
- sensitivity analysis
- fuzzy logic
- pattern recognition
- forecasting model
- machine learning
- data mining