Update readme.rst

readme.rst

@@ -1,9 +1,9 @@
-PIANN-FWI for estimating the Marmousi velocity model
+PGANN-FWI for estimating the Marmousi velocity model
 ===================================================
 
-In this repository, I implemented the physics-informed neural network
-(PINN) for full-waveform inversion. This PINN can be implemented with or
-without attention block. The architecture of their study is shown in the
+In this repository, I implemented the physics-guided neural network
+(PGNN) for full-waveform inversion. This PGNN can be implemented with or
+without an attention block. The architecture of their study is shown in the
 following figure.
 
 .. figure:: /readme_files/architecture.png
@@ -30,24 +30,23 @@ specified versions to be sure everything works.
    pip install -r requirements.txt
 
 In this repo, there are four scripts for running FWI: 
- | 1. `pinn_fwi.py <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_fwi.py>`__ for performing PINN- or PIANN-FWI. 
+ | 1. `pinn_fwi.py <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_fwi.py>`__ for performing PGNN- or PGANN-FWI. 
  | 2. `original_fwi.py <https://github.com/AmirMardan/pinn_fwi/blob/main/original_fwi.py>`__ for running the conventional FWI (Not available). 
- | 3. `pinn_for_init.py <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_for_init.py>`__ for performing PINN- or PIANN-FWI to create an initial model and use that to perform the conventional FWI (Not available). 
- | 4. `pinn_fwi.ipynb <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_fwi.ipynb>`__ for performing PINN- or PIANN-FWI, but this notebook might not be updated.
+ | 3. `pinn_for_init.py <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_for_init.py>`__ for performing PINN- or PGANN-FWI to create an initial model and use that to perform the conventional FWI (Not available). 
+ | 4. `pinn_fwi.ipynb <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_fwi.ipynb>`__ for performing PINN- or PGANN-FWI, but this notebook might not be updated.
 
-The result of running this code for 22 shots with 2500 epochs on the
-Marmousi model is shown in the following figures.
+The result of running this code for 22 shots with 2500 epochs on the Marmousi model is shown in the following figures.
 
 |res| For a faster convergence (300 epochs), I considered geophones
 around the model and the results are |with_init| where the hybrid method
-is using the PIANN-FWI for creating only initial model.
+is using the PGANN-FWI for creating only the initial model.
 
 Reference:
 
 ::
 
-   @inproceedings{mardan2024piann_eage,
-       title = {Physics-informed attention-based neural networks for full-waveform inversion},
+   @inproceedings{mardan2024pgann_eage,
+       title = {Physics-guided attention-based neural networks for full-waveform inversion},
        author = {Mardan, Amir and Fabien-Ouellet, Gabriel},
        year = {2024},
        booktitle = {85$^{th}$ {EAGE} Annual Conference \& Exhibition},