Application of PSO-artificial neural network and response surface methodology for removal of methylene blue using silver nanoparticles from water samples

Silver Nanoparticles ◽

Response Surface ◽

Water Samples ◽

Removal of methylene blue via bioinspired catecholamine/starch superadsorbent and the efficiency prediction by response surface methodology and artificial neural network-particle swarm optimization

Bioresource Technology ◽

10.1016/j.biortech.2019.122084 ◽

2019 ◽

Vol 294 ◽

pp. 122084 ◽

Cited By ~ 7

Author(s):

Negin Mahmoodi-Babolan ◽

Amir Heydari ◽

Ali Nematollahzadeh

Keyword(s):

Neural Network ◽

Methylene Blue ◽

Particle Swarm Optimization ◽

Response Surface ◽

Particle Swarm ◽

Swarm Optimization ◽

Modeling of adsorption of Methylene Blue dye on Ho-CaWO4 nanoparticles using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) techniques

MethodsX ◽

10.1016/j.mex.2019.07.016 ◽

2019 ◽

Vol 6 ◽

pp. 1779-1797 ◽

Cited By ~ 13

Author(s):

Chinenye Adaobi Igwegbe ◽

Leili Mohmmadi ◽

Shahin Ahmadi ◽

Abbas Rahdar ◽

Danial Khadkhodaiy ◽

...

Keyword(s):

Neural Network ◽

Methylene Blue ◽

Response Surface ◽

Blue Dye ◽

Methylene Blue Dye ◽

Artificial Neural ◽

Artificial Neural Network Ann ◽

Modeling Of Adsorption

Modeling of solid-phase tea waste extraction for the removal of manganese and cobalt from water samples by using PSO-artificial neural network and response surface methodology

Arabian Journal of Chemistry ◽

10.1016/j.arabjc.2013.06.011 ◽

2017 ◽

Vol 10 ◽

pp. S1663-S1673 ◽

Cited By ~ 15

Author(s):

Mostafa Khajeh ◽

Ali Sarafraz-Yazdi ◽

Afsaneh Fakhrai Moghadam

Keyword(s):

Neural Network ◽

Response Surface ◽

Water Samples ◽

Solid Phase ◽

Tea Waste ◽

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

Evaluating the fluidized-bed drying of rice using response surface methodology and artificial neural network

LWT ◽

10.1016/j.lwt.2021.111589 ◽

2021 ◽

Vol 147 ◽

pp. 111589

Author(s):

Sara Nanvakenari ◽

Kamyar Movagharnejad ◽

Asefeh Latifi

Keyword(s):

Neural Network ◽

Response Surface ◽

Fluidized Bed ◽

Fluidized Bed Drying ◽

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

Microporous and Mesoporous Materials ◽

10.1016/j.micromeso.2021.111497 ◽

2021 ◽

pp. 111497

Author(s):

Jin-Kyu Kang ◽

Yoon-Gu Kim ◽

Seung-Chan Lee ◽

Ho-Young Jang ◽

Suk-Hyun Yoo ◽

...

Keyword(s):

Neural Network ◽

Mesoporous Silica ◽

Aqueous Solutions ◽

Response Surface ◽