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Accomplishing the function similar to RSM(Response surface methodology) with Neural-Network in Pytorch

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data

data

 
 

.gitignore

.gitignore

 
 

After_Analysis_OOP.py

After_Analysis_OOP.py

 
 

After_Analysis_OOP_Pickle.py

After_Analysis_OOP_Pickle.py

 
 

Analysis_single_net.py

Analysis_single_net.py

 
 

Analysis_single_net_once.py

Analysis_single_net_once.py

 
 

Data_Processing_General_OOP.py

Data_Processing_General_OOP.py

 
 

Mul_Process_DNN_CMAQ.py

Mul_Process_DNN_CMAQ.py

 
 

Mul_Process_DNN_CMAQ_TIMES_ACC_TF.py

Mul_Process_DNN_CMAQ_TIMES_ACC_TF.py

 
 

Mul_Process_DNN_CMAQ_Times_Def_MiniBatch.py

Mul_Process_DNN_CMAQ_Times_Def_MiniBatch.py

 
 

Mul_Process_DNN_CMAQ_Times_Def_Pickle.py

Mul_Process_DNN_CMAQ_Times_Def_Pickle.py

 
 

Mul_Process_DNN_Times_Def_MiniBatch_Pickle.py

Mul_Process_DNN_Times_Def_MiniBatch_Pickle.py

 
 

Net_Predict_Get_OOP.py

Net_Predict_Get_OOP.py

 
 

Net_Predict_Get_OOP_Smoothize.py

Net_Predict_Get_OOP_Smoothize.py

 
 

README.md

README.md

 
 

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RSM_Predict_New

Accomplishing the function similar to RSM(Response surface methodology) with Neural-Network in Pytorch

  • Platform : Windows/Linux
  • Language : Python3.6
  • Main library : Pytorch,pandas,numpy,matplotlib,netCDF4,multiprocessing
  • Data sources : Simulate result from CMAQ system: https://www.cmascenter.org/cmaq/

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Accomplishing the function similar to RSM(Response surface methodology) with Neural-Network in Pytorch

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neural-network python3 pytorch rsm

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