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Machine Learning and Artificial Neural Networks-Based Approach to Model and Optimize Ethyl Methanesulfonate and Sodium Azide Induced In Vitro Regeneration and Morphogenic Traits of Water Hyssops (Bacopa monnieri L.)

Crossref DOI link: https://doi.org/10.1007/s00344-022-10808-w

Published Online: 2022-10-09

Published Print: 2023-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mirza, Kubra

Aasim, Muhammad https://orcid.org/0000-0002-8524-9029
Katırcı, Ramzan

Karataş, Mehmet

Ali, Seyid Amjad
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Text and Data Mining valid from 2022-10-09

Version of Record valid from 2022-10-09
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Article History

Received: 17 March 2022

Accepted: 10 September 2022

First Online: 9 October 2022

Declarations

:

: The authors declare that there is not any conflict of interest regarding publication of this paper.

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