Optimization of Neural Networks with Response Surface Methodology: Prediction of Cigarette Pressure Drop

Pressure Drop ◽

Response Surface

Modeling and optimization of pectin extraction from banana peel using artificial neural networks (ANNs) and response surface methodology (RSM)

Journal of Food Measurement & Characterization ◽

10.1007/s11694-021-00852-7 ◽

2021 ◽

Author(s):

Ermias Girma Aklilu

Keyword(s):

Neural Networks ◽

Response Surface ◽

Banana Peel ◽

Modeling And Optimization ◽

Optimization of hypochlorous acid generation by HCl electrolysis through response surface methodology and artificial neural networks

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2021.105826 ◽

2021 ◽

pp. 105826

Author(s):

Muhammad Yaqub ◽

Changyeon Woo ◽

Wontae Lee

Keyword(s):

Neural Networks ◽

Response Surface ◽

Hypochlorous Acid ◽

Acid Generation ◽

Simultaneous extraction of polysaccharides and polyphenols from blackcurrant fruits: Comparison between response surface methodology and artificial neural networks

Industrial Crops and Products ◽

10.1016/j.indcrop.2021.113682 ◽

2021 ◽

Vol 170 ◽

pp. 113682

Author(s):

Xueying Bu ◽

Yaqin Xu ◽

Meimei Zhao ◽

Dalong Li ◽

Jiaheng Zou ◽

...

Keyword(s):

Neural Networks ◽

Response Surface ◽

Simultaneous Extraction ◽

Comparative assessment of response surface methodology and artificial neural networks in forecasting biodiesel yield from waste cooking sunflower oil

Materials Today Proceedings ◽

10.1016/j.matpr.2021.02.291 ◽

2021 ◽

Author(s):

B. Devaraj Naik ◽

M. Udayakumar

Keyword(s):

Neural Networks ◽

Response Surface ◽

Sunflower Oil ◽

Comparative Assessment ◽

Photocatalytic oxidation of treated municipal wastewaters for the removal of phenolic compounds: optimization and modeling using response surface methodology (RSM) and artificial neural networks (ANNs)

Journal of Chemical Technology & Biotechnology ◽

10.1002/jctb.3755 ◽

2012 ◽

Vol 87 (10) ◽

pp. 1385-1395 ◽

Cited By ~ 33

Author(s):

Maria Antonopoulou ◽

Vassilios Papadopoulos ◽

Ioannis Konstantinou

Keyword(s):

Neural Networks ◽

Phenolic Compounds ◽

Response Surface ◽

Photocatalytic Oxidation ◽

Artificial Neural ◽

Municipal Wastewaters

Optimizing Wear Behavior of Epoxy Composites Using Response Surface Methodology and Artificial Neural Networks

Polymer Composites ◽

10.1002/pc.25089 ◽

2018 ◽

Vol 40 (7) ◽

pp. 2812-2818

Author(s):

D. Satish Kumar ◽

M. Rajmohan

Keyword(s):

Neural Networks ◽

Response Surface ◽

Wear Behavior ◽

Epoxy Composites ◽

Modelling and optimization of syngas production by methane dry reforming over samarium oxide supported cobalt catalyst: response surface methodology and artificial neural networks approach

Clean Technologies and Environmental Policy ◽

10.1007/s10098-016-1318-5 ◽

2016 ◽

Vol 19 (4) ◽

pp. 1181-1193 ◽

Cited By ~ 18

Author(s):

Bamidele V. Ayodele ◽

Maksudur R. Khan ◽

Safdar Sk Nooruddin ◽

Chin Kui Cheng

Keyword(s):

Neural Networks ◽

Response Surface ◽

Cobalt Catalyst ◽

Dry Reforming ◽

Samarium Oxide ◽

Methane Dry Reforming ◽

Syngas Production ◽

Modelling And Optimization

Modeling the Performance of Vortex Tube using Response Surface Methodology and Artificial Neural Networks

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/390/1/012010 ◽

2018 ◽

Vol 390 ◽

pp. 012010 ◽

Cited By ~ 3

Author(s):

G Suresh Kumar ◽

B Veerabhadra Reddy ◽

G Sankaraiah ◽

P Venkateshwar Reddy

Keyword(s):

Neural Networks ◽

Response Surface ◽

Vortex Tube ◽

Comparative study on modeling by neural networks and response surface methodology for better prediction and optimization of fermentation parameters: Application on thermo-alkaline lipase production by Nocardiopsis sp. strain NRC/WN5

Biocatalysis and Agricultural Biotechnology ◽

10.1016/j.bcab.2020.101619 ◽

2020 ◽

Vol 25 ◽

pp. 101619 ◽

Cited By ~ 1

Author(s):

Mohamed M. Abdel Aziz ◽

Eman W. Elgammal ◽

Roba G. Ghitas

Keyword(s):

Neural Networks ◽

Comparative Study ◽

Response Surface ◽

Lipase Production ◽

Alkaline Lipase ◽

Fermentation Parameters ◽

Optimization Of Fermentation

Enhanced removal of Cr(VI) by cerium oxide polyaniline composite: Optimization and modeling approach using response surface methodology and artificial neural networks

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2015.03.028 ◽

2015 ◽

Vol 3 (2) ◽

pp. 870-885 ◽

Cited By ~ 21

Author(s):

S. Mandal ◽

S.S. Mahapatra ◽

R.K. Patel

Keyword(s):

Neural Networks ◽

Response Surface ◽

Cerium Oxide ◽

Composite Optimization ◽

Modeling Approach ◽