Prediction approach of larch wood density from visible–near-infrared spectroscopy based on parameter calibrating and transfer learning

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• who: Zheyu Zhang from the Silesian University of Technology, Poland have published the Article: Prediction approach of larch wood density from visibleu2013near-infrared spectroscopy based on parameter calibrating and transfer learning, in the Journal: (JOURNAL)
• what: This study took larch wood density as the research object and aimed to propose a parameter-calibrated transfer learning method to predict wood density under different moisture contents. The model proposed in the paper is Resnet1D-SVRTrAdaBoost.R2, which consists of two parts chiefly: one is the frontiersin.org 10.3389/fpls.2022.1006292 (MSE) is used as the . . .
  

   

  

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