Modeling and Optimizing Medium Composition for Shoot Regeneration of Chrysanthemum via Radial Basis...
Modeling and Optimizing Medium Composition for Shoot Regeneration of Chrysanthemum via Radial Basis Function-Non-dominated Sorting Genetic Algorithm-II (RBF-NSGAII)
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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The aim of the current study was modeling and optimizing medium compositions for shoot proliferation of chrysanthemum, as a case study, through radial basis function- non-dominated sorting genetic algorithm-II (RBF-NSGAII). RBF as one of the artificial neural networks (ANNs) was used for modeling four outputs including proliferation rate (PR), shoo...
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Full title
Modeling and Optimizing Medium Composition for Shoot Regeneration of Chrysanthemum via Radial Basis Function-Non-dominated Sorting Genetic Algorithm-II (RBF-NSGAII)
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6890634
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6890634
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-019-54257-0
