使用IGWO调整的LSSVM进行负荷预测

文件列表：
AFEm.m
Data Beban Harian.xlsx
Data Hari Libur.xlsx
Hasil Simulasi IGWO 1.xls
Hasil Simulasi IGWO 10.xls
Hasil Simulasi IGWO 11.xls
Hasil Simulasi IGWO 12.xls
Hasil Simulasi IGWO 13.xls
Hasil Simulasi IGWO 14.xls
Hasil Simulasi IGWO 15.xls
Hasil Simulasi IGWO 16.xls
Hasil Simulasi IGWO 17.xls
Hasil Simulasi IGWO 18.xls
Hasil Simulasi IGWO 19.xls
Hasil Simulasi IGWO 2.xls
Hasil Simulasi IGWO 20.xls
Hasil Simulasi IGWO 21.xls
Hasil Simulasi IGWO 22.xls
Hasil Simulasi IGWO 23.xls
Hasil Simulasi IGWO 24.xls
Hasil Simulasi IGWO 25.xls
Hasil Simulasi IGWO 3.xls
Hasil Simulasi IGWO 4.xls
Hasil Simulasi IGWO 5.xls
Hasil Simulasi IGWO 6.xls
Hasil Simulasi IGWO 7.xls
Hasil Simulasi IGWO 8.xls
Hasil Simulasi IGWO 9.xls
Indonesia 2018(1).pdf
Indonesia 2019(1).pdf
MLP_kernel.m
Notes.txt
PengambilData.m
RBF_kernel.m
README.md
Random_walk_around_antlion.m
Rangkuman Simulasi MAPE.xls
Rangkuman Simulasi MASE.xls
Rangkuman Simulasi R2.xls
Rangkuman Simulasi.xls
RegressExample.m
Resume Hasil Simulasi.xlsx
RouletteWheelSelection.m
Untitled.m
alo.m
apso.m
bay_errorbar.m
bay_initlssvm.m
bay_lssvm.m
bay_lssvmARD.m
bay_modoutClass.m
bay_optimize.m
bay_rr.m
bitreverse32.m
changelssvm.m
cilssvm.m
code.m
code_ECOC.m
code_MOC.m
code_OneVsAll.m
code_OneVsOne.m
codedist_bay.m
codedist_hamming.m
codedist_loss.m
codelssvm.m
crossvalidate.m
crossvalidatelssvm.m
csa.m
denoise_kpca.m
eign.m
gcrossvalidate.m
gcrossvalidatelssvm.m
gridsearch.m
gwo.m
igwo.m
initlssvm.m
kentropy.m
kernel_matrix.m
kernel_matrix2.m
kpca.m
latentlssvm.m
latticeseq_b2.m
leaveoneout.m
leaveoneoutlssvm.m
lin_kernel.m
linesearch.m
linf.m
lssvm.m
lssvmMATLAB.m
mae.m
medae.m
misclass.m
mse.m
plotlssvm.m
poly_kernel.m
postlssvm.m
predict.m
predlssvm.m
preimage_rbf.m
prelssvm.m
progress.m
range.m
rcrossvalidate.m
rcrossvalidatelssvm.m
ridgeregress.m
robustlssvm.m
roc.m
rsimplex.m
simann.m
simlssvm.m
simplex.m
smootherlssvm.m
structRNG2.mat
studikasusbagus9.mat
studikasusjelek24.mat
tbform.m
trainlssvm.m
trimmedmse.m
tunelssvm.m
tunelssvmalo.m
tunelssvmapso.m
tunelssvmgwo.m
tunelssvmigwo.m
weightingscheme.m
windowize.m
windowizeNARX.m
worstcase.jpg

运行例图：



使用IGWO调整的LSSVM进行负荷预测.zip (1.18 MB, 下载次数: 0, 售价: 30 积分)

2023-11-9 20:45 上传

点击文件名下载附件