布谷鸟算法(CS)优化最小二乘支持向量机回归预测,CS-LSSVM回归预测,多变量输入模型。
评价指标包括:R2、MAE、MSE、RMSE和MAPE等,代码质量极高,方便学习和替换数据。
代码参考:https://mbd.pub/o/bread/ZJaYm5py CS-LSSVM回归预测
https://mbd.pub/o/bread/ZJaYmplr ABC-LSSVM回归预测
https://mbd.pub/o/bread/ZJaYmplt FA-LSSVM回归预测
https://mbd.pub/o/bread/Y56YlJht LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJxs PSO-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJxt FA-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJxu SSA-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJxx WOA-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ1p GWO-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ1r BES-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ1u GJO-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ1v POA-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ1w SO-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ1y AOA-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ5p RUN-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ5q SMA-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ5s NGO-LSSVM回归预测
https://mbd.pub/o/bread/Y5yalJ5t SOA-LSSVM回归预测