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2014 ) with the parameters detailed in the table." width="100%" height="100%">
Journal: Plant-Environment Interactions
Article Title: Non‐invasive assessment of cultivar and sex of Cannabis sativa L. by means of hyperspectral measurement
doi: 10.1002/pei3.10116
Figure Lengend Snippet: Machine learning models used, their architecture and parametrization. Further minor training parameters for PLS1 and MLP have been kept to the standard values of the MATLAB Deep Learning Toolbox and the Statistics and Machine Learning Toolbox. The radial basis function (RBF) network and it's training was implemented manually using Adam learning method (Kingma & Ba,
Article Snippet:
Techniques: Plasmid Preparation, Biomarker Discovery