Defining the optimal conditions using FFNNs and NARX neural networks for modelling the extraction of Sc from aqueous solution by Cryptand-2.2.1 and Cryptand-2.1.1

The main aim of this study is to figure out how well cryptand-2.2.1 (C 2.2.1) and cryptand-2.1.1 (C 2.1.1) macrocyclic compounds (MCs) work as novel extractants for scandium (Sc) by using an artificial neural network (ANN) models in MATLAB software. Moreover, C2.2.1 and C2.1.1 have never been evalua...

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Detalles Bibliográficos
Autores principales: Dawood Salman, Ali, Alardhi, Saja Mohsen, AlJaberi, Forat Yasir, Jalhoom, Moayyed G., Le, Phuoc-Cuong, Al-Humairi, Shurooq Talib, Adelikhah, Mohammademad, Miklós Jakab, Farkas, Gergely, Abdulhady Jaber, Alaa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623173/
https://www.ncbi.nlm.nih.gov/pubmed/37928005
http://dx.doi.org/10.1016/j.heliyon.2023.e21041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623173/
https://www.ncbi.nlm.nih.gov/pubmed/37928005
http://dx.doi.org/10.1016/j.heliyon.2023.e21041

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