Journal: Drug Invention Today

Article Id: JPRS-MSNS-00002835
Title: Microclonal propagation of plant process modeling and optimization of its parameters based on neural network
Category: Microbiological Study (on Natural/ Synthetic drug)
Section: Research Article
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    Objective: This article describes the development and study of the models of neural networks for the evaluation and prediction of the results of the sterilization stage. These results allow to optimize its parameters and to conduct a required amount of simulation experiment with simultaneous changes of several (including all) parameters. Methods: For modeling study, researchers used two paradigms of artificial neural network, i.e., multilayer perceptron and radial basis function network. Preliminary laboratory experiments confirmed the adequacy of the developed models, while the smallest approximation error corresponds to the model in the form of a radial basis function network. Seeds of rare, disappearing, and medicinal plants growing on the territory of the Belgorod region were considered as explants. Results: This article carried out an imitation experiment based on the developed model. This experiment made it possible to identify the optimal parameters of the sterilization stage (the type of sterilant, its concentration, and the time of processing of plant explants) for plants seeds that were not used to construct the model, for which no laboratory experiments were used. Conclusion: The highest predicted percentage of sterile explants and aseptic viable seedlings was determined for these plant species.

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    Author(s) Name:

    Olga A. Ivashchuk*, Vjacheslav I. Fedorov, Natalia V. Shcherbinina, Elena V. Maslova, Elena O. Shamraeva, Maxim D. Zhuravlev

    Affiliation(s) Name:

    Department of Information Management Systems, Institute of Engineering Technology and Natural Sciences, Belgorod State University, 85 Pobedy Street, Belgorod, 308015, Russia

    *Corresponding author: Olga A. Ivashchuk, Department of Information Management Systems, Institute of Engineering Technology and Natural Sciences, Belgorod State University, 85 Pobedy Street, Belgorod, 308015, Russia.

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    Author:

    Olga A. Ivashchuk*, Vjacheslav I. Fedorov, Natalia V. Shcherbinina, Elena V. Maslova, Elena O. Shamraeva, Maxim D. Zhuravlev

    Title:Microclonal propagation of plant process modeling and optimization of its parameters based on neural network
    Journal:Drug Invention Today
    Vol(issue):10 (November [ Special Issue 3 ])
    Year:2018
    Page No: (3170-3175)
  • Experimental Methods Keywords

    Methodology: Artificial neural networks, Microclonal propagation, Modeling, Optimization, Simulation experiment, Sterilization of plant explants
    Research Materials:Sterilization of plant explants

Keywords

Artificial neural networks Microclonal propagation Modeling Optimization Simulation experiment Sterilization of plant explants

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