Solving PDE with Neural Networks

Applying neural networks to approximate Partial Differential Equation (PDE)

How to run

VarNet:
- run Residual_1Dt.py or Operator_1Dt.py for 1D-PDE
- run Operator_2Dt.py for 2D-PDE
ELM:
- run ELM_test.py file

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
TF_ELM		TF_ELM
.gitignore		.gitignore
1D_ELM.py		1D_ELM.py
ADPDE.py		ADPDE.py
ContourPlot.py		ContourPlot.py
Domain.py		Domain.py
ELM_test.py		ELM_test.py
FiniteElement.py		FiniteElement.py
MOR.py		MOR.py
Operator_1Dt.py		Operator_1Dt.py
Operator_1DtMOR.py		Operator_1DtMOR.py
Operator_2Dt.py		Operator_2Dt.py
README.md		README.md
Residual_1Dt.py		Residual_1Dt.py
TFModel.py		TFModel.py
UtilityFunc.py		UtilityFunc.py
VarNet.py		VarNet.py
VarNetUtility.py		VarNetUtility.py