GPR程序
代码说明：
基于高斯过程回归的锂电池充放电性能的预测(Prediction of Charge and Discharge Performance of Lithium Batteries Based on Gaussian Process Regression)
文件列表：
brentmin.m
CCC_dianliu828.mat
CCC_dianya828.mat
covMaternard.m
covNNone.m
covSum.m
cyc1001.xlsx
Data4000.mat
DataCycall.mat
dataprocess.m
DL_HYCD.m
DL_HYCD.mat
DY.m
DY_HLCD.m
DY_HLCD_Voltage.m
DY_HLFD.m
DY_HLFD.mat
DY1.m
elsympol.m
EnvenlySampled.m
gauher.m
glm_invlink_exp.m
glm_invlink_expexp.m
glm_invlink_logistic.m
glm_invlink_logit.m
gp.m
gp_classification.m
gpml_randn.m
gpr.m
hengliuchongdian.m
hengyachongdian.xlsx
HLCD828.m
hyp.m
infectionPoint.m
infExact.m
infLaplace.m
lbfgsb.m
likGauss.m
logphi.m
logsumexp2.m
make.m
MAPE.m
meanFunctions.m
meanLinear.m
minimize.m
minimize_lbfgsb.m
minimize_lbfgsb_gradfun.m
minimize_lbfgsb_objfun.m
minimize_v1.m
minimize_v2.m
priorClamped.m
priorClampedMulti.m
priorDelta.m
priorDeltaMulti.m
priorDistributions.m
priorGamma.m
priorGauss.m
priorGaussMulti.m
priorInvGauss.m
priorLaplace.m
priorLaplaceMulti.m
priorLogNormal.m
priorMix.m
priorSmoothBox1.m
priorSmoothBox2.m
priorT.m
priorTMulti.m
priorTransform.m
priorWeibull.m
README
rewrap.m
RMSE.m
solve_chol.c
solve_chol.m
sq_dist.m
startup.m
style.css
test_sparse.m
test_struct.asv
test_struct.m
unwrap.m
wenti1shuju.m
x.mat
x1.mat
y1.mat
binaryEPGP.m
binaryGP.m
binaryLaplaceGP.m
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