Fast imaging for the 3d density structures by machine learning approach

HIGHLIGHTS

• who: . and colleagues from the University of Houston, United States have published the article: Fast imaging for the 3D density structures by machine learning approach, in the Journal: (JOURNAL)
• what: The authors first proposed the GV-Net model inspired by U-Net (Ronneberger et_al, 2015) for the 3D density structure imaging. When the GV-Net is used for inversion problems, as long as the model is well-trained, fast ensure the stability of the loss curves and error curves, the loss value and error on curves are calculated by the prediction results of 200 random . . .
  

   

  

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