Sonophotocatalytic treatment of AB113 dye and real textile wastewater using ZnO/persulfate: Modeling by response surface methodology and artificial neural network
… For this propose, the current research was aimed to extend the performance of the US/UV/ZnO/PS
process in the removal of AB113 from aqueous solution. Also, the synergism effect of …
process in the removal of AB113 from aqueous solution. Also, the synergism effect of …
… multi-walled carbon nanotubes and γ-alumina as novel adsorbents: Modelling and optimization based on response surface methodology and artificial neural network
… In the present study, adsorptive removal of cobalt(II) from the solvent phase via MWCNTs …
design-response surface methodology (CCD-RSM) and artificial neural network (ANN), and …
design-response surface methodology (CCD-RSM) and artificial neural network (ANN), and …
Optimization of process variables during torrefaction of coal/biomass/waste tyre blends: Application of artificial neural network & response surface methodology
… In this study, Artificial Neural Network (ANN) and Response Surface Methodology (RSM) …
Box-Behnken Design (BBD) techniques were applied to study the torrefaction process. Coal-to-…
Box-Behnken Design (BBD) techniques were applied to study the torrefaction process. Coal-to-…
… study and parameters optimization of microalgae based heavy metals removal process using a hybrid response surface methodology-crow search algorithm
… using an integrated response surface methodology (RSM), desirability function (DF), and
crow search algorithm (CSA) modeling approach. A maximum lead(II) removal efficiency of …
crow search algorithm (CSA) modeling approach. A maximum lead(II) removal efficiency of …
[PDF][PDF] Artificial neural network and response surface design for modeling the competitive biosorption of pentachlorophenol and 2, 4, 6-trichlorophenol to Canna indica …
EC Ebere, P Ovuoraye, O Isiuku… - Analytical Methods in …, 2023 - researchgate.net
… Both response surface methodology and artificial neural networks have been … remove
PCP and TCP from water using response surface methodology and artificial neural networks…
PCP and TCP from water using response surface methodology and artificial neural networks…
Comparison of response surface methodology (RSM) and artificial neural network (ANN) modelling for supercritical fluid extraction of phytochemicals from Terminalia …
… RSM modelling and Effect of process parameters and their interaction on the responses …
was investigated with the application of CCRD based response surface methodology with four …
was investigated with the application of CCRD based response surface methodology with four …
Process parameter optimization of biodiesel production from algal oil by response surface methodology and artificial neural networks
… response surface methodology (RSM) and artificial neural networks (ANN) for the modeling
of yield and process … Algal oil was filtered to remove all insoluble impurities from the oil and …
of yield and process … Algal oil was filtered to remove all insoluble impurities from the oil and …
[HTML][HTML] Comparative analysis of RSM, ANN and ANFIS and the mechanistic modeling in eriochrome black-T dye adsorption using modified clay
… The application of artificial neural network (ANN), response … the optimum conditions for
the removal of EBT. There has been … network (ANN) and response surface methodology (RSM). …
the removal of EBT. There has been … network (ANN) and response surface methodology (RSM). …
Application of Box–Behnken design for optimizing parameters of hexavalent chromium removal from aqueous solutions using Fe3O4 loaded on activated carbon …
…, M Vosough, A Dargahi, M Fazlzadeh, A Behzad… - … of Water Process …, 2021 - Elsevier
… In the present paper, the Response Surface Methodology (RSM) was evaluated for optimizing
the Hexavalent Chromium (Cr (VI)) removal efficiency using our synthesized adsorbent, ie, …
the Hexavalent Chromium (Cr (VI)) removal efficiency using our synthesized adsorbent, ie, …
Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research
… 3 illustrates that artificial neural network (ANN) has been the predominant model in … that
aids HM removal techniques. AI models are not limited to HM removal prediction; these models …
aids HM removal techniques. AI models are not limited to HM removal prediction; these models …