Improved physics-informed neural networks combined with small sample learning to solve two-dimensional stefan problem

HIGHLIGHTS

• who: Jiawei Li and colleagues from the College of Mathematics and System Sciences, Xinjiang University, Urumqi, China have published the Article: Improved Physics-Informed Neural Networks Combined with Small Sample Learning to Solve Two-Dimensional Stefan Problem, in the Journal: Entropy 2023, 25, 675. of /2023/
• what: In this paper deep neural networks combined with small sample learning and a general deep learning framework are proposed to solve the two-dimensional To achieve this goal, the authors propose and modified the neural_network framework proposed by Wang . Recall that, for the Stefan problem, the authors aim . . .
  

   

  

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