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 eight macr...

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Detalles Bibliográficos
Autores principales: Jamshidi, S., Yadollahi, A., Ahmadi, H., Arab, M. M., Eftekhari, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4809900/
https://www.ncbi.nlm.nih.gov/pubmed/27066013
http://dx.doi.org/10.3389/fpls.2016.00274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4809900/
https://www.ncbi.nlm.nih.gov/pubmed/27066013
http://dx.doi.org/10.3389/fpls.2016.00274

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