Comparative assessment of artificial neural network and response surface methodology for evaluation of the predictive capability on bio-oil yield of Tithonia diversifolia pyrolysis

Response Surface ◽

Comparative Assessment ◽

Oil Yield ◽

Tithonia Diversifolia ◽

Predictive Capability ◽

Bio Oil ◽

Response Surface Methodology and Artificial Neural Network Methods Comparative Assessment for Fuel Rich and Fuel Lean Catalytic Combustion

World Journal of Engineering and Technology ◽

10.4236/wjet.2021.94057 ◽

2021 ◽

Vol 09 (04) ◽

pp. 816-847

Author(s):

Tahani S. Gendy ◽

Amal S. Zakhary ◽

Salwa A. Ghoneim

Keyword(s):

Neural Network ◽

Response Surface ◽

Catalytic Combustion ◽

Comparative Assessment ◽

Network Methods ◽

Development of NOx removal process for LNG evaporation system: Comparative assessment between response surface methodology (RSM) and artificial neural network (ANN)

Journal of Industrial and Engineering Chemistry ◽

10.1016/j.jiec.2019.02.020 ◽

2019 ◽

Vol 74 ◽

pp. 136-147 ◽

Cited By ~ 10

Author(s):

Ziehyun Kim ◽

Yeonju Shin ◽

Jihye Yu ◽

Geonjoong Kim ◽

Sungwon Hwang

Keyword(s):

Neural Network ◽

Response Surface ◽

Comparative Assessment ◽

Nox Removal ◽

Removal Process ◽

Artificial Neural ◽

Artificial Neural Network Ann

Comparative assessment on defluoridation of waste water using chemical and bio-reduced graphene oxide: Batch, thermodynamic, kinetics and optimization using response surface methodology and artificial neural network

Process Safety and Environmental Protection ◽

10.1016/j.psep.2017.07.010 ◽

2017 ◽

Vol 111 ◽

pp. 221-231 ◽

Cited By ~ 6

Author(s):

Swapnila Roy ◽

Suvendu Manna ◽

Shubhalakshmi Sengupta ◽

Antara Ganguli ◽

Sudipta Goswami ◽

...

Keyword(s):

Neural Network ◽

Waste Water ◽

Graphene Oxide ◽

Response Surface ◽

Reduced Graphene Oxide ◽

Comparative Assessment ◽

Reduced Graphene ◽

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 ◽