利用高斯过程回归建立软测量模型(GPR)我要分享

Establishment of soft sensor model (GPR) by Gaussian process regression

测量数据 GPR模型 软测量 GPR 高斯过程回归

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文件大小: 161KB

代码分类: 智能算法

开发平台: matlab

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代码描述

中文说明:

利用高斯过程回归建立软测量模型,主程序名为OnlineStage.m,包含数据,可以直接运行,亲测可用。


English Description:

The main program is called onlinestage. M, which contains data and can be run directly.


代码预览

GPR

...\array.h

...\arrayofmatrices.cpp

...\arrayofmatrices.h

...\binaryEPGP.m

...\binaryGP.m

...\binaryLaplaceGP.m

...\brentmin.m

...\htm" target=_blank>changelog

...\htm" target=_blank>Copyright

...\covADD.m

...\covConst.m

...\covFITC.m

...\covFunctions.m

...\covLIN.m

...\covLINard.m

...\covLINone.m

...\covMask.m

...\covMaterniso.m

...\covNNone.m

...\covNoise.m

...\covPeriodic.m

...\covPoly.m

...\covPPiso.m

...\covProd.m

...\covRQard.m

...\covRQiso.m

...\covScale.m

...\covSEard.m

...\covSEiso.m

...\covSEisoU.m

...\covSum.m

...\demoClassification.m

...\demoRegression.m

...\elsympol.m

...\gp.asv

...\gp.m

...\gpml_randn.m

...\GPR.asv

...\gpr.m

...\infEP.m

...\infExact.m

...\infFITC.m

...\infLaplace.m

...\infLOO.m

...\infMethods.m

...\infVB.m

...\lbfgsb.cpp

...\lbfgsb.m

...\license.txt

...\likErf.m

...\likFunctions.m

...\likGauss.m

...\likLaplace.m

...\likLogistic.m

...\likSech2.m

...\likT.m

...\make.m

...\Makefile

...\matlabexception.cpp

...\matlabexception.h

...\matlabmatrix.cpp

...\matlabmatrix.h

...\matlabprogram.cpp

...\matlabprogram.h

...\matlabscalar.cpp

...\matlabscalar.h

...\matlabstring.cpp

...\matlabstring.h

...\meanConst.m

...\meanFunctions.m

...\meanLinear.m

...\meanMask.m

...\meanOne.m

...\meanPow.m

...\meanProd.m

...\meanScale.m

...\meanSum.m

...\meanZero.m

...\minimize.m

...\minimize_lbfgsb.m

...\minimize_lbfgsb_gradfun.m

...\minimize_lbfgsb_objfun.m

...\OnlineStage.asv

...\OnlineStage.m

...\program.cpp

...\program.h

...\htm" target=_blank>README

...\rewrap.m

...\sgpr.m

...\simu.asv

...\simu.m

...\simu_adap.asv

...\simu_adap.m

...\simu_ave.m

...\solver.f

...\solve_chol.c

...\solve_chol.m

...\sq_dist.m

...\startup.m