Predicting in vitro culture medium macro-nutrients composition for pear rootstocks using regression analysis and neural network models

Predicting in vitro culture medium macro-nutrients composition for pear rootstocks using regression analysis and neural network models

Two modeling techniques [artificial neural network-genetic algorithm (ANN-GA) and stepwise regression analysis] were used to predict the effect of medium macro-nutrients on in vitro performance of pear rootstocks (OHF and Pyrodwarf). The ANN-GA described associations between investigating 8 macronut...

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Bibliographic Details
Main Authors: S. eJamshidi, A. eYadollahi, H. eAhmadi, M.M. eArab, Maliheh eEftekhari
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-03-01
Series:Frontiers in Plant Science
Subjects:
neural network model
Regression Analysis
Macro nutrients
Optimized medium
in vitro culture medium
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpls.2016.00274/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpls.2016.00274/full

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