Ultrasonic supported deletion of Rhodamine B on ultrasonically synthesized zinc hydroxide nanoparticles on activated carbon concocted from wood of cherry tree: experimental design methodology and artificial neural network

2021 ◽  
Vol 226 ◽  
pp. 147-156
Author(s):  
Masoumeh Kiani ◽  
Saideh Bagheri ◽  
Akram Khalaji ◽  
Nima Karachi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Activated Carbon ◽  
Experimental Design ◽  
Rhodamine B ◽  
Design Methodology ◽  
Zinc Hydroxide ◽  
Cherry Tree ◽  
Artificial Neural ◽  
Experimental Design Methodology

Optimization of the process parameters for the adsorption of ternary dyes by Ni doped FeO(OH)-NWs–AC using response surface methodology and an artificial neural network

RSC Advances ◽  
2016 ◽  
Vol 6 (24) ◽  
pp. 19768-19779 ◽  
Author(s):  
Farshid Nasiri Azad ◽  
Mehrorang Ghaedi ◽  
Arash Asfaram ◽  
Arsalan Jamshidi ◽  
Ghasem Hassani ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Activated Carbon ◽  
Response Surface ◽  
Process Parameters ◽  
Rhodamine B ◽  
Simultaneous Removal ◽  
Ferric Oxyhydroxide ◽  
Artificial Neural

The present study deals with the simultaneous removal of chrysoidine G (CG), rhodamine B (RB) and disulfine blue (DB) by Ni doped ferric oxyhydroxide FeO(OH) nanowires on activated carbon (Ni doped FeO(OH)-NWs–AC).

Multitemporal distribution analysis of Dodonaea viscosa (L.) Jacq. by remote sensing in Durango, Mexico

2020 ◽  
Vol 13 (8) ◽  
Author(s):  
Marco, A. Márquez-Linares ◽  
Jonathan G. Escobar--Flores ◽  
Sarahi Sandoval- Espinosa ◽  
Gustavo Pérez-Verdín
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Design Methodology ◽  
Supervised Classification ◽  
Satellite Images ◽  
Ground Cover ◽  
Distribution Analysis ◽  
Dodonaea Viscosa ◽  
Artificial Neural ◽  
Landsat Satellite

Objective: to determine the distribution of D. viscosa in the vicinity of the Guadalupe Victoria Dam in Durango, Mexico, for the years 1990, 2010 and 2017.Design/Methodology/Approach: Landsat satellite images were processed in order to carry out supervised classifications using an artificial neural network. Images from the years 1990, 2010 and 2017 were used to estimate ground cover of D. viscosa, pastures, crops, shrubs, and oak forest. This data was used to calculate the expansion of D. viscosa in the study area.Results/Study Limitations/Implications: the supervised classification with the artificial neural network was optimal after 400 iterations, obtaining the best overall precision of 84.5 % for 2017. This contrasted with the year 1990, when overall accuracy was low at 45 % due to less training sites (fewer than 100) recorded for each of the land cover classes.Findings/Conclusions: in 1990, D. viscosa was found on only five hectares, while by 2017 it had increased to 147 hectares. If the disturbance caused by overgrazing continues, and based on the distribution of D. viscosa, it is likely that in a few years it will have the ability to invade half the study area, occupying agricultural, forested, and shrub areas

scholarly journals Green Synthesis of Ultraviolet Absorber 2-Ethylhexyl Salicylate: Experimental Design and Artificial Neural Network Modeling

Catalysts ◽  
2017 ◽  
Vol 7 (11) ◽  
pp. 342 ◽  
Author(s):  
Shang-Ming Huang ◽  
Tzu-Hsiang Hung ◽  
Yung-Chuan Liu ◽  
Chia-Hung Kuo ◽  
Chwen-Jen Shieh
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Experimental Design ◽  
Green Synthesis ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Artificial Neural Network Modeling ◽  
Artificial Neural

Prediction of rhamnolipid breakthrough curves on activated carbon and Amberlite XAD-2 using Artificial Neural Network and Group Method Data Handling models

2015 ◽  
Vol 206 ◽  
pp. 293-299 ◽  
Author(s):  
Carlos Eduardo de Araújo Padilha ◽  
Carlos Alberto de Araújo Padilha ◽  
Domingos Fabiano de Santana Souza ◽  
Jackson Araújo de Oliveira ◽  
Gorete Ribeiro de Macedo ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Activated Carbon ◽  
Breakthrough Curves ◽  
Group Method ◽  
Data Handling ◽  
Artificial Neural ◽  
Group Method Data Handling
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