文件名称:LSSVMLab-1.6
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模糊PID算法（C++） 温度控制的一般控制算法，Kp,Ki,Kd,需根据具体的控制对象取合适的值-Fuzzy PID algorithm (C++,) the general control algorithm for temperature control, Kp, Ki, Kd, to be based on a specific control object to take the appropriate value
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下载文件列表
LSSVMLab 1.6\AFEm.m
............\bay_errorbar.m
............\bay_initlssvm.m
............\bay_lssvm.m
............\bay_lssvmARD.m
............\bay_modoutClass.m
............\bay_optimize.m
............\bay_rr.m
............\changelssvm.m
............\code.m
............\codedist_bay.m
............\codedist_hamming.m
............\codedist_loss.m
............\codelssvm.m
............\code_ECOC.m
............\code_MOC.m
............\code_OneVsAll.m
............\code_OneVsOne.m
............\crossvalidate.m
............\crossvalidatelssvm.m
............\deltablssvm.m
............\democlass.m
............\demofun.m
............\demomodel.m
............\demomulticlass.m
............\demo_fixedclass.m
............\demo_fixedsize.m
............\demo_yinyang.m
............\denoise_kpca.m
............\eign.m
............\gcrossvalidate.m
............\gcrossvalidatelssvm.m
............\gridsearch.m
............\initlssvm.m
............\kentropy.m
............\kernel_matrix.m
............\kernel_matrix2.m
............\kpca.m
............\latentlssvm.m
............\leaveoneout.m
............\leaveoneoutlssvm.m
............\linesearch.m
............\linf.m
............\lin_kernel.m
............\lssvm.m
............\lssvmMATLAB.m
............\medae.m
............\misclass.m
............\MLP_kernel.m
............\mse.m
............\plotlssvm.m
............\poly_kernel.m
............\postlssvm.m
............\predict.m
............\preimage_rbf.m
............\prelssvm.m
............\range.m
............\RBF_kernel.m
............\rcrossvalidate.m
............\rcrossvalidatelssvm.m
............\ridgeregress.m
............\ripley.mat
............\robustlssvm.m
............\roc.m
............\simlssvm.asv
............\simlssvm.m
............\sparselssvm.m
............\trainlssvm.m
............\tunelssvm.m
............\weightingscheme.m
............\windowize.m
............\windowizeNARX.m
LSSVMLab 1.6
............\bay_errorbar.m
............\bay_initlssvm.m
............\bay_lssvm.m
............\bay_lssvmARD.m
............\bay_modoutClass.m
............\bay_optimize.m
............\bay_rr.m
............\changelssvm.m
............\code.m
............\codedist_bay.m
............\codedist_hamming.m
............\codedist_loss.m
............\codelssvm.m
............\code_ECOC.m
............\code_MOC.m
............\code_OneVsAll.m
............\code_OneVsOne.m
............\crossvalidate.m
............\crossvalidatelssvm.m
............\deltablssvm.m
............\democlass.m
............\demofun.m
............\demomodel.m
............\demomulticlass.m
............\demo_fixedclass.m
............\demo_fixedsize.m
............\demo_yinyang.m
............\denoise_kpca.m
............\eign.m
............\gcrossvalidate.m
............\gcrossvalidatelssvm.m
............\gridsearch.m
............\initlssvm.m
............\kentropy.m
............\kernel_matrix.m
............\kernel_matrix2.m
............\kpca.m
............\latentlssvm.m
............\leaveoneout.m
............\leaveoneoutlssvm.m
............\linesearch.m
............\linf.m
............\lin_kernel.m
............\lssvm.m
............\lssvmMATLAB.m
............\medae.m
............\misclass.m
............\MLP_kernel.m
............\mse.m
............\plotlssvm.m
............\poly_kernel.m
............\postlssvm.m
............\predict.m
............\preimage_rbf.m
............\prelssvm.m
............\range.m
............\RBF_kernel.m
............\rcrossvalidate.m
............\rcrossvalidatelssvm.m
............\ridgeregress.m
............\ripley.mat
............\robustlssvm.m
............\roc.m
............\simlssvm.asv
............\simlssvm.m
............\sparselssvm.m
............\trainlssvm.m
............\tunelssvm.m
............\weightingscheme.m
............\windowize.m
............\windowizeNARX.m
LSSVMLab 1.6