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

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...

Full description

Bibliographic Details
Main Authors: Ali Dawood Salman, Saja Mohsen Alardhi, Forat Yasir AlJaberi, Moayyed G. Jalhoom, Phuoc-Cuong Le, Shurooq Talib Al-Humairi, Mohammademad Adelikhah, Miklós Jakab, Gergely Farkas, Alaa Abdulhady Jaber
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
Molecular recognition
Scandium
Macrocyclic compounds
Artificial neural network
NARX model
Online Access:http://www.sciencedirect.com/science/article/pii/S240584402308249X

Internet

http://www.sciencedirect.com/science/article/pii/S240584402308249X

Similar Items