Applications of artificial neural networks for adsorption removal of dyes from aqueous solution: a review
AM Ghaedi, A Vafaei - Advances in colloid and interface science, 2017 - Elsevier
Artificial neural networks (ANNs) have been widely applied for the prediction of dye
adsorption during the last decade. In this paper, the applications of ANN methods, namely …
adsorption during the last decade. In this paper, the applications of ANN methods, namely …
Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide …
In this study, graphite oxide (GO) nano according to Hummers method was synthesized and
subsequently was used for the removal of methylene blue (MB) and brilliant green (BG). The …
subsequently was used for the removal of methylene blue (MB) and brilliant green (BG). The …
Artificial neural network optimization for methyl orange adsorption onto polyaniline nano-adsorbent: kinetic, isotherm and thermodynamic studies
This study aims to synthesize a polyaniline nano-adsorbent and use it to adsorb methyl
orange dye from the aqueous solution. The average particle size of nano-adsorbent was …
orange dye from the aqueous solution. The average particle size of nano-adsorbent was …
Modelling of dye adsorption from aqueous solution on polyaniline/carboxymethyl cellulose/TiO2 nanocomposites
In the present study, a polyaniline/carboxymethyl cellulose/TiO 2 nanocomposite
(PAn/CMC/TiO 2) was synthesized by a polymerization method, and was used for adsorption …
(PAn/CMC/TiO 2) was synthesized by a polymerization method, and was used for adsorption …
Prediction of biosorption efficiency for the removal of copper (II) using artificial neural networks
N Prakash, SA Manikandan, L Govindarajan… - Journal of Hazardous …, 2008 - Elsevier
Various low-cost adsorbents have been used for removing Cu (II) ions from aqueous
solutions for the treatment of copper containing wastewaters to remove organic compounds …
solutions for the treatment of copper containing wastewaters to remove organic compounds …
Accurate data prediction by fuzzy inference model for adsorption of hazardous azo dyes by novel algal doped magnetic chitosan bionanocomposite
A bionanocomposite comprising of magnetic chitosan doped with algae isolated from native
habitat was fabricated and utilized as an efficient adsorbent for the removal of hazardous …
habitat was fabricated and utilized as an efficient adsorbent for the removal of hazardous …
Intelligent modeling and experimental study on methylene blue adsorption by sodium alginate-kaolin beads
As tighter regulations on color in discharges to water bodies are more widely implemented
worldwide, the demand for reliable inexpensive technologies for dye removal grows. In this …
worldwide, the demand for reliable inexpensive technologies for dye removal grows. In this …
[HTML][HTML] Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling
In this study, methyl orange (MO) dye removal by adsorption utilizing activated carbon made
from date seeds (DPAC) was modeled using an artificial neural network (ANN) technique …
from date seeds (DPAC) was modeled using an artificial neural network (ANN) technique …
[HTML][HTML] Dyes adsorption from aqueous media through the nanotechnology: A review
The article aims to review the research findings on the adsorption of dyes from aqueous
media. It was observed from the review that activated carbon and Polymer based …
media. It was observed from the review that activated carbon and Polymer based …
Modeling of quaternary dyes adsorption onto ZnO–NR–AC artificial neural network: analysis by derivative spectrophotometry
The novel adsorbent ie ZnO–NR–AC was synthesized and used for the rapid removal of the
quaternary dyes from the aqueous solution. The ANN model was used for the optimization …
quaternary dyes from the aqueous solution. The ANN model was used for the optimization …