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

Phenolic Compounds ◽

Cashew Apple Bagasse ◽

Assisted Extraction ◽

Cashew Apple ◽

Optimization of Ultrasound‐Assisted Extraction of Ascorbic Acid, Protein and Total Antioxidants from Cashew Apple Bagasse using Artificial Neural Network‐Genetic Algorithm and Response Surface Methodology

Journal of Food Processing and Preservation ◽

10.1111/jfpp.16317 ◽

2022 ◽

Author(s):

Abhipriya Patra ◽

S. Abdullah ◽

Rama Chandra Pradhan

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Cashew Apple Bagasse ◽

Assisted Extraction ◽

Acid Protein ◽

Cashew Apple ◽

Ultrasound–assisted extraction optimization of phenolic compounds from Psidium guajava L. using artificial neural network-genetic algorithm

Journal of Physics Conference Series ◽

10.1088/1742-6596/1025/1/012020 ◽

2018 ◽

Vol 1025 ◽

pp. 012020 ◽

Cited By ~ 1

Author(s):

Annisa Amalia ◽

Suryono Suryono ◽

Jatmiko Endro Suseno ◽

Ratna Kurniawati

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Phenolic Compounds ◽

Psidium Guajava ◽

Extraction Optimization ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

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 ◽

Curcuma Comosa ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

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 ◽

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 ◽

Response surface methodology and artificial neural network modeling for optimization of ultrasound-assisted extraction and rapid HPTLC analysis of asiaticoside from Centella asiatica

Industrial Crops and Products ◽

10.1016/j.indcrop.2021.114320 ◽

2022 ◽

Vol 176 ◽

pp. 114320

Author(s):

Poonam Kumari ◽

Prabhjot Kaur ◽

Vijay Kumar ◽

Babita Pandey ◽

Romaan Nazir ◽

...

Keyword(s):

Neural Network ◽

Network Modeling ◽

Centella Asiatica ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Assisted Extraction ◽

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 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 ◽

Optimization ultrasound‐assisted extraction of anthocyanins from cranberry using response surface methodology coupled with genetic algorithm and identification anthocyanins with HPLC‐MS 2

Journal of Food Processing and Preservation ◽

10.1111/jfpp.15378 ◽

2021 ◽

Author(s):

Hongkun Xue ◽

Jiaqi Tan ◽

Xu Cai ◽

Qian Li ◽

Jintian Tang

Keyword(s):

Genetic Algorithm ◽

Response Surface ◽

Assisted Extraction ◽