Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for

一个用于石油降解率预测的SVR程序，采用遗传算法优化支持向量回归模型的参数。供大家参考！-a SVR model for prediction of oil degradation rate. The parameters of SVR model was optimized by GA.

CV-AVR,GA-AVR,MPGA-SVR进行参数优化与预测 进行股票趋势预测与分析(CV-AVR, GA-AVR, MPGA-SVR for parameter optimization and prediction, stock trend prediction and analysis)

用遗传算法优化支持向量回归机C、g、p参数(Optimization of C, G, P parameters of support vector regression machine by genetic algorithm)

基于遗传算法寻优参数的支持向量机算法，使得算法的参数达到全局最优，避免陷入具备最小(Support Vector Machine Algorithms Based on Genetic Algorithms for Optimizing Parameters)