tbh111 / ML-RF-Harvesting Public

A simulation of RF-DC conversion performance in RF energy harvesting scene with machine learning methods.

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
MyWorkspace_wrk		MyWorkspace_wrk
spice_data		spice_data
.gitattributes		.gitattributes
.gitignore		.gitignore
2820.mat		2820.mat
2820_multi_param_data.mat		2820_multi_param_data.mat
LICENSE		LICENSE
README.md		README.md
SVR.mat		SVR.mat
SVR.png		SVR.png
SVR_1D.py		SVR_1D.py
curve_fitting.py		curve_fitting.py
curve_fitting_multi.py		curve_fitting_multi.py
data_reformat.py		data_reformat.py
hidden=200+800,epoch=100000,lr=0.001.png		hidden=200+800,epoch=100000,lr=0.001.png
hidden=50,epoch=1000000,lr=0.001.png		hidden=50,epoch=1000000,lr=0.001.png
loss.svg		loss.svg
model.pth		model.pth
model_multi.pth		model_multi.pth
model_spice_mass_with_f_400_600_loss=2.5e-5.png		model_spice_mass_with_f_400_600_loss=2.5e-5.png
model_spice_mass_with_f_400_600_loss=2.5e-5.pth		model_spice_mass_with_f_400_600_loss=2.5e-5.pth
multi.png		multi.png
multi_diode.png		multi_diode.png
spice_fitting.py		spice_fitting.py