Particle swarm optimization-based support vector regression and Bayesian networks applied to the toxicity of organic compounds to tadpoles (Rana japonica).
Qiang SuWen-Cong LuXu LiuTian Hong GuBing NiuPublished in: BMEI (2011)
Keyphrases
- support vector regression
- particle swarm optimization
- bayesian networks
- regression model
- support vector
- drug discovery
- hybrid model
- chemical compounds
- learning algorithm
- back propagation neural network
- support vector machine
- kernel function
- nonlinear regression
- neural network
- support vector machine svm
- wavelet transform
- classification accuracy
- feature selection
- genetic algorithm