Artificial neural network and response surface methodology modeling for diclofenac removal by quaternized mesoporous silica SBA-15 in aqueous solutions

Mesoporous Silica ◽

Aqueous Solutions ◽

Response Surface ◽

Reactive separation of malic acid from aqueous solutions and modeling by artificial neural network (ANN) and response surface methodology (RSM)

Journal of Dispersion Science and Technology ◽

10.1080/01932691.2020.1838920 ◽

2020 ◽

pp. 1-10

Author(s):

Tais Evlik ◽

Yavuz Selim Aşçı ◽

Nilay Baylan ◽

Halil Gamsızkan ◽

Süheyla Çehreli

Keyword(s):

Neural Network ◽

Aqueous Solutions ◽

Response Surface ◽

Malic Acid ◽

Artificial Neural ◽

Reactive Separation ◽

Artificial Neural Network Ann

Modeling and optimization of tartaric acid reactive extraction from aqueous solutions: A comparison between response surface methodology and artificial neural network

Separation and Purification Technology ◽

10.1016/j.seppur.2010.08.016 ◽

2010 ◽

Vol 75 (3) ◽

pp. 273-285 ◽

Cited By ~ 68

Author(s):

N. Marchitan ◽

C. Cojocaru ◽

A. Mereuta ◽

Gh. Duca ◽

I. Cretescu ◽

...

Keyword(s):

Neural Network ◽

Aqueous Solutions ◽

Response Surface ◽

Tartaric Acid ◽

Reactive Extraction ◽

Modeling And Optimization ◽

Simulation of mercury bioremediation from aqueous solutions using artificial neural network, adaptive neuro-fuzzy inference system, and response surface methodology

Desalination and Water Treatment ◽

10.1080/19443994.2014.926835 ◽

2014 ◽

Vol 55 (6) ◽

pp. 1467-1479 ◽

Cited By ~ 2

Author(s):

Seyed Ali Jafari ◽

Dariush Jafari

Keyword(s):

Neural Network ◽

Aqueous Solutions ◽

Response Surface ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Metal-organic framework MIL-100(Fe) for dye removal in aqueous solutions: Prediction by artificial neural network and response surface methodology modeling

Environmental Pollution ◽

10.1016/j.envpol.2020.115583 ◽

2020 ◽

Vol 267 ◽

pp. 115583

Author(s):

Ho-Young Jang ◽

Jin-Kyu Kang ◽

Jeong-Ann Park ◽

Seung-Chan Lee ◽

Song-Bae Kim

Keyword(s):

Neural Network ◽

Aqueous Solutions ◽

Response Surface ◽

Dye Removal ◽

Metal Organic Framework ◽

Metal Organic ◽

Artificial Neural ◽

Organic Framework

Decolorization of crystal violet from aqueous solutions by a novel adsorbent chitosan/nanodiopside using response surface methodology and artificial neural network-genetic algorithm

International Journal of Biological Macromolecules ◽

10.1016/j.ijbiomac.2018.11.148 ◽

2019 ◽

Vol 124 ◽

pp. 429-443 ◽

Cited By ~ 22

Author(s):

Shima Ghanavati Nasab ◽

Abolfazl Semnani ◽

Abbas Teimouri ◽

Mehdi Javaheran Yazd ◽

Tahereh Momeni Isfahani ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Aqueous Solutions ◽

Response Surface ◽

Crystal Violet ◽

Navigating viscosity of ferrofluid using response surface methodology and artificial neural network

Journal of Materials Research and Technology ◽

10.1016/j.jmrt.2020.11.087 ◽

2020 ◽

Vol 9 (6) ◽

pp. 16339-16348

Author(s):

Nidal H. Abu-Hamdeh ◽

Ali Golmohammadzadeh ◽

Aliakbar Karimipour

Keyword(s):

Neural Network ◽

Response Surface ◽

Modeling of phenol separation from water by NiFe2O4 nanocomposite using response surface methodology and artificial neural network techniques

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2021.105576 ◽

2021 ◽

pp. 105576

Author(s):

Leili Mohammadi ◽

Muhammad Nadeem Zafar ◽

Maqzia Bashir ◽

Sajjad Hussain Sumrra ◽

Syed Salman Shafqat ◽

...

Keyword(s):

Neural Network ◽

Response Surface ◽

Comparative study of response surface methodology and artificial neural network in the optimization of the ultrasound-assisted extraction of diarylheptanoid phytoestrogens from Curcuma comosa rhizomes

Chemical Engineering and Processing - Process Intensification ◽

10.1016/j.cep.2021.108461 ◽

2021 ◽

Vol 165 ◽

pp. 108461

Author(s):

Bancha Yingngam ◽

Abhiruj Navabhatra ◽

Wandee Rungseevijitprapa ◽

Chutinun Prasitpuriprecha ◽

Adelheid Brantner

Keyword(s):

Neural Network ◽

Comparative Study ◽

Response Surface ◽

Ultrasound Assisted Extraction ◽

Curcuma Comosa ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Analysis and prediction of the performance of free- piston Stirling engine using response surface methodology and artificial neural network

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2021.116557 ◽

2021 ◽

Vol 188 ◽

pp. 116557

Author(s):

Wenlian Ye ◽

Xiaojun Wang ◽

Yingwen Liu ◽

Jun Chen

Keyword(s):

Neural Network ◽

Response Surface ◽

Stirling Engine ◽

Free Piston ◽

Artificial Neural ◽

Free Piston Stirling Engine

Prediction of surface roughness in turning of duplex stainless steel (DSS) using response surface methodology (RSM) and artificial neural network (ANN)

Materials Today Proceedings ◽

10.1016/j.matpr.2021.05.118 ◽

2021 ◽

Author(s):

Mahesh Gopal

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Stainless Steel ◽

Duplex Stainless Steel ◽

Response Surface ◽

Artificial Neural ◽

Artificial Neural Network Ann