Modelling bark thickness for scots pine (pinus sylvestris l.) and common oak (quercus robur l.) with recurrent neural networks

HIGHLIGHTS

• who: Dominika Cywicka and collaborators from the Faculty of Computer Science and Telecommunications, Cracow University of Technology, Cracow, Poland have published the Article: Modelling bark thickness for Scots pine (Pinus sylvestris L.) and common oak (Quercus robur L.) with recurrent neural networks, in the Journal: PLOS ONE of 14/Oct/2022
• what: The authors propose a new approach based on time series. This activity was intended to increase the performance of the model by reducing bias. The aim of the first numerical experiment was to conclude if the training method had an influence in the . . .
  

   

  

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