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A High-Efficient Hybrid Physics-Informed Neural Networks Based on Convolutional Neural Network

This repository contains the source code associated with my paper titled "A High-Efficient Hybrid Physics-Informed Neural Networks Based on Convolutional Neural Network".

Paper Reference

The full paper can be found on IEEE Xplore.

Getting Started

The main files in this project are:

  • epinn.py
  • epinn_i_1.py
  • epinn_s_1.py
  • epinn_v.py

You can run any of these files directly to see examples of the concepts discussed in the paper. For example:

python epinn.py

License

This project is licensed under the GPL License - see the LICENSE file for more details.