update README.md.

Signed-off-by: 葛峻恺 <202115006@mail.sdu.edu.cn>

README.md

@@ -1,6 +1,6 @@
 ### **🔍 Source-Independent Full Waveform Inversion for GPR using Deep Learning** 
 
-A PyTorch-based implementation of a source-independent full waveform inversion (FWI) framework tailored for ground-penetrating radar (GPR) data, leveraging deep learning techniques to reconstruct subsurface permittivity models. This method is particularly suitable for GPR investigation in permafrost environments or undulating strata.
+A PyTorch-based implementation of a source-independent full waveform inversion (FWI) framework tailored for ground-penetrating radar (GPR) data, leveraging deep learning techniques to reconstruct subsurface permittivity models. This method is suitable for GPR investigation in permafrost environments or undulating strata.
 
 Program name: GPR-SIDL-inv
 
@@ -78,7 +78,7 @@ GPR-SIDL-inv/
 
     ├── 9_time_depth_convert.py        # Convert the predicted results into the deep domain through integration
 
-    ├── config.py                    # Configuration file, used to define all paths, variables, and parameters
+    ├── config.py                      # Configuration file, used to define all paths, variables, and parameters
 
     ├── requirements.txt               # Python dependencies