Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)

Published 2018 View Full Article

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Title
Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)
Authors
Keywords
Artificial neural networks, Multilayer perceptron, Multiple regression, Principal component analysis, Safflower, Seed yield
Journal
INDUSTRIAL CROPS AND PRODUCTS
Volume 127, Issue -, Pages 185-194
Publisher
Elsevier BV
Online
2018-11-02
DOI
10.1016/j.indcrop.2018.10.050

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