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Open Access

Peer-reviewed

Research Article

Comparative analysis of different artificial neural networks for predicting and optimizing in vitro seed germination and sterilization of petunia

Hamed Rezaei,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Plant Biotechnology, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran
⨯
Asghar Mirzaie-asl ,

Roles Conceptualization, Project administration, Resources, Supervision, Validation, Writing – review & editing

* E-mail: a.mirzaie@basu.ac.ir

Affiliation Department of Plant Biotechnology, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran

https://orcid.org/0000-0001-6590-0753

⨯
Mohammad Reza Abdollahi,

Roles Conceptualization, Validation, Writing – review & editing

Affiliation Department of Agronomy and Plant Breeding, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran
⨯
Masoud Tohidfar

Roles Conceptualization, Validation, Writing – review & editing

Affiliation Department of Plant Biotechnology, Faculty of Life Science and Biotechnology, Shahid Beheshti University, Tehran, Iran
⨯

Comparative analysis of different artificial neural networks for predicting and optimizing in vitro seed germination and sterilization of petunia

Hamed Rezaei,
Asghar Mirzaie-asl,
Mohammad Reza Abdollahi,
Masoud Tohidfar

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Published: May 11, 2023
https://doi.org/10.1371/journal.pone.0285657

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Seed germination
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Neurons
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Artificial neural networks
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Seeds
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Optimization
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Carbon nanotubes
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Algorithms
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Plant tissues
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