Application of Adaptive Neuro-Fuzzy Inference System-Non-dominated Sorting Genetic Algorithm-II (ANFIS-NSGAII) for Modeling and Optimizing Somatic Embryogenesis of Chrysanthemum

Application of Adaptive Neuro-Fuzzy Inference System-Non-dominated Sorting Genetic Algorithm-II (ANFIS-NSGAII) for Modeling and Optimizing Somatic Embryogenesis of Chrysanthemum

A hybrid artificial intelligence model and optimization algorithm could be a powerful approach for modeling and optimizing plant tissue culture procedures. The aim of this study was introducing an Adaptive Neuro-Fuzzy Inference System- Non-dominated Sorting Genetic Algorithm-II (ANFIS-NSGAII) as a p...

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Bibliographic Details
Main Authors: Mohsen Hesami, Roohangiz Naderi, Masoud Tohidfar, Mohsen Yoosefzadeh-Najafabadi
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Plant Science
Subjects:
artificial intelligence
chrysanthemum
carbohydrate
embryogenesis
in vitro culture
light quality
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.00869/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2019.00869/full

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