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

Comparative Study ◽

Response Surface ◽

Curcuma Comosa ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Optimization of ultrasound assisted extraction of polyphenols from Meghalayan cherry fruit (Prunus nepalensis) using response surface methodology (RSM) and artificial neural network (ANN) approach

Journal of Food Measurement & Characterization ◽

10.1007/s11694-020-00611-0 ◽

2020 ◽

Author(s):

Piyush Kashyap ◽

Charanjit Singh Riar ◽

Navdeep Jindal

Keyword(s):

Neural Network ◽

Response Surface ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Artificial Neural ◽

Artificial Neural Network Ann

Prediction of the extraction yield using artificial neural network and response surface methodology: ultrasound-assisted extraction from Achillea berbresteinii L.

Quality Assurance and Safety of Crops & Foods ◽

10.3920/qas2013.0245 ◽

2014 ◽

Vol 6 (4) ◽

pp. 431-438 ◽

Cited By ~ 1

Author(s):

D. Salarbashi ◽

F. Khanzadeh ◽

S.M. Hosseini ◽

M. Mohamadi ◽

A. Rajaei ◽

...

Keyword(s):

Neural Network ◽

Response Surface ◽

Extraction Yield ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Response surface methodology and artificial neural network approach for the optimization of ultrasound-assisted extraction of polyphenols from garlic

Food and Chemical Toxicology ◽

10.1016/j.fct.2019.110976 ◽

2020 ◽

Vol 135 ◽

pp. 110976 ◽

Cited By ~ 8

Author(s):

Andrija Ciric ◽

Bor Krajnc ◽

David Heath ◽

Nives Ogrinc

Keyword(s):

Neural Network ◽

Response Surface ◽

Network Approach ◽

Artificial Neural Network Approach

Neural Network Approach ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Ultrasound assisted extraction of phenolic compounds from P. lentiscus L. leaves: Comparative study of artificial neural network (ANN) versus degree of experiment for prediction ability of phenolic compounds recovery

Industrial Crops and Products ◽

10.1016/j.indcrop.2015.08.062 ◽

2015 ◽

Vol 77 ◽

pp. 251-261 ◽

Cited By ~ 28

Author(s):

Farid Dahmoune ◽

Hocine Remini ◽

Sofiane Dairi ◽

Omar Aoun ◽

Kamal Moussi ◽

...

Keyword(s):

Neural Network ◽

Phenolic Compounds ◽

Comparative Study ◽

Prediction Ability ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Artificial Neural ◽

Artificial Neural Network Ann

Optimization of ultrasound-assisted extraction of phenolic compounds from grapefruit (Citrus paradisiMacf.) leaves via D-optimal design and artificial neural network design with categorical and quantitative variables

Journal of the Science of Food and Agriculture ◽

10.1002/jsfa.8987 ◽

2018 ◽

Vol 98 (12) ◽

pp. 4584-4596 ◽

Cited By ~ 9

Author(s):

Zeynep Ciğeroğlu ◽

Ömür Aras ◽

Carlos A Pinto ◽

Mahmut Bayramoglu ◽

Ş İsmail Kırbaşlar ◽

...

Keyword(s):

Neural Network ◽

Phenolic Compounds ◽

Optimal Design ◽

Network Design ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Application of artificial neural network‐genetic algorithm and response surface methodology for optimization of ultrasound‐assisted extraction of phenolic compounds from cashew apple bagasse

Journal of Food Process Engineering ◽

10.1111/jfpe.13828 ◽

2021 ◽

Author(s):

Abhipriya Patra ◽

S Abdullah ◽

Rama Chandra Pradhan

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Phenolic Compounds ◽

Cashew Apple Bagasse ◽

Assisted Extraction ◽

Cashew Apple ◽

Ultrasound Assisted

Application of ultrasound-assisted and subcritical water oxidation methods in the mineralisation of Procion Crimson H-EXL using response surface methodology and artificial neural network

Journal of Environmental Science and Health Part A ◽

10.1080/10934529.2019.1647749 ◽

2019 ◽

Vol 54 (14) ◽

pp. 1412-1422 ◽

Cited By ~ 5

Author(s):

Erdal Yabalak ◽

Büşra Külekçi ◽

A. Murat Gizir

Keyword(s):

Neural Network ◽

Response Surface ◽

Water Oxidation ◽

Subcritical Water ◽

Ultrasound Assisted ◽

Optimization of Pectinase Assisted Extraction of Chironji (Buchanania Lanzan) Fruit Juice Using Response Surface Methodology and Artificial Neural Network

International Journal of Fruit Science ◽

10.1080/15538362.2020.1734895 ◽

2020 ◽

Vol 20 (sup2) ◽

pp. S318-S336 ◽

Cited By ~ 4

Author(s):

Dileswar Pradhan ◽

S. Abdullah ◽

Rama Chandra Pradhan

Keyword(s):

Neural Network ◽

Response Surface ◽

Fruit Juice ◽

Assisted Extraction ◽

Modeling of ultrasound assisted intensification of biodiesel production from neem (Azadirachta indica) oil using response surface methodology and artificial neural network

Fuel ◽

10.1016/j.fuel.2014.11.058 ◽

2015 ◽

Vol 143 ◽

pp. 262-267 ◽

Cited By ~ 46

Author(s):

J. Prakash Maran ◽

B. Priya

Keyword(s):

Neural Network ◽

Response Surface ◽

Azadirachta Indica ◽

Biodiesel Production ◽

Ultrasound Assisted ◽

Optimization of microwave-assisted extraction of total polyphenolic compounds from chokeberries by response surface methodology and artificial neural network

Separation and Purification Technology ◽

10.1016/j.seppur.2016.01.019 ◽

2016 ◽

Vol 160 ◽

pp. 89-97 ◽

Cited By ~ 56

Author(s):

Valentina M. Simić ◽

Katarina M. Rajković ◽

Saša S. Stojičević ◽

Dragan T. Veličković ◽

Nada Č. Nikolić ◽

...

Keyword(s):

Neural Network ◽

Response Surface ◽

Polyphenolic Compounds ◽

Microwave Assisted Extraction ◽

Microwave Assisted ◽

Assisted Extraction ◽