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Code for the paper "Deep-learning-based State Reconstruction of a Scalar Hyperbolic PDE under Lagrangian Sensing"

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mBarreau/TrafficReconstructionDL

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TrafficReconstructionDL

Code for the paper Learning-based State Reconstruction for a Scalar Hyperbolic PDE under Lagrangian Sensing -> PDF

Description of the files

  • godunov.py simulates the problem using a godunov numerical scheme.
  • main.py is the main file, the one to launch.
  • neural_network.py is a class for general neural network purposes (using Tensorflow).
  • reconstruction_neural_network.py is a class that uses neural_network.py to create a reconstruction neural network.

Requirements

  • Python 3.7.7
  • Tensorflow 1.15
  • matplotlib 3.3.1
  • numpy 1.19.1
  • pyDOE 0.3.8

Start a reconstruction

To start the file run main.py.

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Code for the paper "Deep-learning-based State Reconstruction of a Scalar Hyperbolic PDE under Lagrangian Sensing"

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