A NONLINEAR RESPONSE SURFACE MODEL BASED ON ARTIFICIAL NEURAL NETWORKS FOR GROWTH OF SACCHAROMYCES CEREVISME

Journal of Rapid Methods & Automation in Microbiology ◽

10.1111/j.1745-4581.1998.tb00191.x ◽

1998 ◽

Vol 6 (2) ◽

pp. 103-118 ◽

Author(s):

M.N. HAJMEER ◽

I.A. BASHEER ◽

D.Y.C. FUNG ◽

J.L. MARSDEN

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Response Surface ◽

Nonlinear Response ◽

Response Surface Model ◽

Surface Model ◽

Model Based ◽

Artificial Neural

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Application of artificial neural networks (ANN) and response surface model (RSM) in optical microlithographic process modeling

10.1117/12.310816 ◽

1998 ◽

Author(s):

Bo Zhou ◽

Barry A. McPherron

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Response Surface ◽

Process Modeling ◽

Response Surface Model ◽

Surface Model ◽

Artificial Neural

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A New Model Based on Artificial Neural Networks and Game Theory for the Selection of Underground Mining Method

Физико-технические проблемы разработки полезных ископаемых ◽

10.15372/ftprpi20200108 ◽

2020 ◽

Keyword(s):

Neural Networks ◽

Game Theory ◽

Artificial Neural Networks ◽

Underground Mining ◽

Mining Method ◽

New Model ◽

Model Based ◽

Artificial Neural ◽

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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 Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Banana Peel ◽

Modeling And Optimization ◽

Artificial Neural

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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 Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Hypochlorous Acid ◽

Acid Generation ◽

Artificial Neural

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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 Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Simultaneous Extraction ◽

Artificial Neural

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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 Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Sunflower Oil ◽

Comparative Assessment ◽

Artificial Neural

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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 ◽

Author(s):

Maria Antonopoulou ◽

Vassilios Papadopoulos ◽

Ioannis Konstantinou

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Artificial Neural Networks ◽

Phenolic Compounds ◽

Response Surface ◽

Photocatalytic Oxidation ◽

Artificial Neural ◽

Municipal Wastewaters

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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 Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Wear Behavior ◽

Epoxy Composites ◽

Artificial Neural

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A Model Based Self Diagnosis System for Autonomous Underwater Vehicles using Artificial Neural Networks

Journal of the Society of Naval Architects of Japan ◽

10.2534/jjasnaoe1968.1996.180_685 ◽

1996 ◽

Vol 1996 (180) ◽

pp. 685-693 ◽

Author(s):

Motoyuki Takai ◽

Tamaki Ura

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Autonomous Underwater Vehicles ◽

Underwater Vehicles ◽

Diagnosis System ◽

Model Based ◽

Artificial Neural

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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 ◽

Author(s):

G Suresh Kumar ◽

B Veerabhadra Reddy ◽

G Sankaraiah ◽

P Venkateshwar Reddy

Keyword(s):

Neural Networks ◽

Response Surface Methodology ◽

Artificial Neural Networks ◽

Response Surface ◽

Vortex Tube ◽

Artificial Neural

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