Comparison of response surface methodology and feedforward neural network modeling for polycaprolactone synthesis using enzymatic polymerization

Biocatalysis and Agricultural Biotechnology ◽

10.1016/j.bcab.2019.101046 ◽

2019 ◽

Vol 18 ◽

pp. 101046 ◽

Cited By ~ 3

Author(s):

Harshini Pakalapati ◽

Senthil Kumar Arumugasamy ◽

Mohammad Khalid

Keyword(s):

Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Network Modeling ◽

Feedforward Neural Network ◽

Enzymatic Polymerization ◽

Neural Network Modeling

Download Full-text

Sonocatalytic Tannery Effluent Degradation –Response Surface Methodology and Particle Swarm Optimization Embedded Artificial Neural Network Modeling Approach

CLEAN - Soil Air Water ◽

10.1002/clen.202100095 ◽

2021 ◽

pp. 2100095

Author(s):

Natarajan Arun Prem Anand ◽

Ramasamy Palani

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Particle Swarm Optimization ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Tannery Effluent ◽

Swarm Optimization ◽

Artificial Neural Network Modeling

Download Full-text

Reduction of edge effect using response surface methodology and artificial neural network modeling of a spur gear treated by induction with flux concentrators

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-019-03817-9 ◽

2019 ◽

Vol 104 (1-4) ◽

pp. 103-117

Author(s):

Mohamed Khalifa ◽

Noureddine Barka ◽

Jean Brousseau ◽

Philippe Bocher

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Edge Effect ◽

Network Modeling ◽

Spur Gear ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Artificial Neural

Download Full-text

Artificial Neural Network Modeling of Cutting Force in Turning of Ti-6Al-4V Alloy and Its Comparison with Response Surface Methodology

Advances in Intelligent and Soft Computing - Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 ◽

10.1007/978-81-322-0491-6_69 ◽

2012 ◽

pp. 761-768 ◽

Cited By ~ 1

Author(s):

Vikas Upadhyay ◽

P. K. Jain ◽

N. K. Mehta

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Cutting Force ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Artificial Neural

Download Full-text

Degradation of ticarcillin by subcritical water oxidation method: Application of response surface methodology and artificial neural network modeling

Journal of Environmental Science and Health Part A ◽

10.1080/10934529.2018.1471023 ◽

2018 ◽

Vol 53 (11) ◽

pp. 975-985 ◽

Cited By ~ 8

Author(s):

Erdal Yabalak

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Water Oxidation ◽

Subcritical Water ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Oxidation Method

Download Full-text

Optimization of supercritical extraction of galegine from Galega officinalis L.: Neural network modeling and experimental optimization via response surface methodology

Korean Journal of Chemical Engineering ◽

10.1007/s11814-016-0304-2 ◽

2016 ◽

Vol 34 (3) ◽

pp. 854-865 ◽

Cited By ~ 7

Author(s):

Pooya Davoodi ◽

Seyyed Mohammad Ghoreishi ◽

Ali Hedayati

Keyword(s):

Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Network Modeling ◽

Supercritical Extraction ◽

Neural Network Modeling ◽

Experimental Optimization ◽

Galega Officinalis

Download Full-text

Statistical and Intelligent Analysis of Viscosity behavior of MgO-MWCNT (25–75%)/10W40 Hybrid Nanolubricant Using Artificial Neural Network Modeling and Response Surface Methodology

Arabian Journal for Science and Engineering ◽

10.1007/s13369-021-06068-7 ◽

2021 ◽

Author(s):

Mohammad Hemmat Esfe ◽

Milad Goodarzi ◽

Saeed Esfandeh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Viscosity Behavior ◽

Intelligent Analysis ◽

Artificial Neural

Download Full-text

Enhancement of lipid accumulation in microalga Desmodesmus sp. VV2: Response Surface Methodology and artificial neural network modeling for biodiesel production

Chemosphere ◽

10.1016/j.chemosphere.2021.133477 ◽

2022 ◽

pp. 133477

Author(s):

Elamathi Vimali ◽

Arumugasamy Senthil Kumar ◽

Nagamalai Sakthi Vignesh ◽

Balasubramaniem Ashokkumar ◽

Amarajothi Dhakshinamoorthy ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Lipid Accumulation ◽

Network Modeling ◽

Biodiesel Production ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Artificial Neural

Download Full-text

Mixed phase Fe 2 O 3 /Mn 3 O 4 magnetic nanocomposite for enhanced adsorption of methyl orange dye: Neural network modeling and response surface methodology optimization

Applied Organometallic Chemistry ◽

10.1002/aoc.4186 ◽

2017 ◽

Vol 32 (3) ◽

pp. e4186 ◽

Cited By ~ 30

Author(s):

Mahashweta Bhowmik ◽

Krishna Deb ◽

Animesh Debnath ◽

Biswajit Saha

Keyword(s):

Neural Network ◽

Response Surface Methodology ◽

Methyl Orange ◽

Response Surface ◽

Network Modeling ◽

Mixed Phase ◽

Magnetic Nanocomposite ◽

Neural Network Modeling ◽

Methyl Orange Dye ◽

Enhanced Adsorption

Download Full-text

Optimality in Microwave-Assisted Drying of Aloe Vera (Aloe barbadensis Miller) Gel using Response Surface Methodology and Artificial Neural Network Modeling

Journal of The Institution of Engineers (India) Series E ◽

10.1007/s40034-016-0083-7 ◽

2016 ◽

Vol 97 (2) ◽

pp. 143-149 ◽

Cited By ~ 2

Author(s):

Chandan Das ◽

Arijit Das ◽

Animes Kumar Golder

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Network Modeling ◽

Aloe Vera ◽

Neural Network Modeling ◽

Aloe Barbadensis ◽

Artificial Neural Network Modeling ◽

Microwave Assisted

Download Full-text

Artificial neural network modeling of Cr(VI) photocatalytic reduction with TiO2-P25 nanoparticles using the results obtained from response surface methodology optimization

Desalination and Water Treatment ◽

10.1080/19443994.2014.963161 ◽

2014 ◽

pp. 1-11 ◽

Cited By ~ 2

Author(s):

Maryam Sabonian ◽

Mohammad A. Behnajady

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Network Modeling ◽

Photocatalytic Reduction ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Artificial Neural

Download Full-text