A conditional random field based feature learning framework for battery capacity prediction

HIGHLIGHTS

• who: Hai-Kun Wang from the SchoolChongqing University have published the research: A conditional random field based feature learning framework for battery capacity prediction, in the Journal: Scientific Reports Scientific Reports
• what: The second layer of the model is the LSTM layer, which is used to deal with timing features. The experimental code in this paper runs in Python 3.7 environment; the deep learning frameworks are Tensorflow 1.15.2 and Keras 2.2.4; the experiments are implemented on a PC (Windows 10 OS, Intel (R) Core (TM) I9-10900 KF CPU 3 . . .
  

   

  

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