Machine learning of pair-contact process with diffusion

HIGHLIGHTS

• who: Jianmin Shen from the Institute University, Wuhan, China, have published the paper: Machine learning of pair-contact process with diffusion, in the Journal: Scientific Reports Scientific Reports
• what: In this paper, the main purpose of supervised learning is to make a binary classification for (1+1)-dimensional PCPD configurations, which are percolating and nonpercolating phases. The authors investigate the autoencoder learning results when D=0.05. The authors propose a more reliable means to determine u03bdu22a5, combining the Euclidean distance. The authors implement the cross-entropy as the cost function, and compare its values . . .
  

   

  

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