Artificial neural network: a powerful tool in associating phenolic compounds with antioxidant activity of grape juices

Antioxidant Activity ◽

Phenolic Compounds ◽

Artificial Neural ◽

Grape Juices

Artificial neural network modelling of the antioxidant activity and phenolic compounds of bananas submitted to different drying treatments

Food Chemistry ◽

10.1016/j.foodchem.2014.07.094 ◽

2015 ◽

Vol 168 ◽

pp. 454-459 ◽

Cited By ~ 51

Author(s):

Raquel P.F. Guiné ◽

Maria João Barroca ◽

Fernando J. Gonçalves ◽

Mariana Alves ◽

Solange Oliveira ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network Modelling

Antioxidant Activity ◽

Phenolic Compounds ◽

Network Modelling ◽

Neural Network Modelling ◽

Artificial Neural ◽

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 ◽

Ultrasound Assisted Extraction ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Generalized decay and artificial neural network models for fixed-Bed phenolic compounds adsorption onto activated date palm biochar

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2020.104711 ◽

2020 ◽

pp. 104711

Author(s):

M.A. Dalhat ◽

Nuhu Dalhat Mu’azu ◽

Mohammad H. Essa

Keyword(s):

Neural Network ◽

Phenolic Compounds ◽

Date Palm ◽

Fixed Bed ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models

Artificial neural network optimization of Althaea rosea seeds polysaccharides and its antioxidant activity

International Journal of Biological Macromolecules ◽

10.1016/j.ijbiomac.2014.06.040 ◽

2014 ◽

Vol 70 ◽

pp. 100-107 ◽

Cited By ~ 8

Author(s):

Feng Liu ◽

Wenhui Liu ◽

Shuge Tian

Keyword(s):

Neural Network ◽

Antioxidant Activity ◽

Network Optimization ◽

Neural Network Optimization ◽

Application of artificial neural network to the determination of phenolic compounds in olive oil mill wastewater

Journal of Food Engineering ◽

10.1016/j.jfoodeng.2006.12.003 ◽

2007 ◽

Vol 81 (3) ◽

pp. 544-552 ◽

Cited By ~ 35

Author(s):

José S. Torrecilla ◽

Maria L. Mena ◽

Paloma Yáñez-Sedeño ◽

Julián García

Keyword(s):

Neural Network ◽

Phenolic Compounds ◽

Olive Oil ◽

Olive Oil Mill Wastewater ◽

Artificial neural network modeling of the antioxidant activity of lettuce submitted to different postharvest conditions

Journal of Food Processing and Preservation ◽

10.1111/jfpp.13878 ◽

2019 ◽

Vol 43 (3) ◽

pp. e13878 ◽

Cited By ~ 1

Author(s):

Milica Ž. Karadžić Banjac ◽

Strahinja Z. Kovačević ◽

Lidija R. Jevrić ◽

Sanja O. Podunavac‐Kuzmanović ◽

Aleksandra N. Tepić Horecki ◽

...

Keyword(s):

Neural Network ◽

Antioxidant Activity ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling ◽

Optimisation of an enzymatic method to obtain modified artichoke pectin and pectic oligosaccharides using artificial neural network tools. In silico and in vitro assessment of the antioxidant activity

Food Hydrocolloids ◽

10.1016/j.foodhyd.2020.106161 ◽

2021 ◽

Vol 110 ◽

pp. 106161 ◽

Cited By ~ 2

Author(s):

Carlos Sabater ◽

Ana Blanco-Doval ◽

Antonia Montilla ◽

Nieves Corzo

Keyword(s):

Neural Network ◽

Antioxidant Activity ◽

In Silico ◽

Enzymatic Method ◽

Pectic Oligosaccharides ◽

In Vitro Assessment ◽

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 ◽

Ultrasound Assisted Extraction ◽

Prediction Ability ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Artificial Neural ◽

Artificial Neural Network Ann

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 ◽

Ultrasound Assisted Extraction ◽

Extraction Optimization ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Determination of phenolic compounds by a polyphenol oxidase amperometric biosensor and artificial neural network analysis

Biosensors and Bioelectronics ◽

10.1016/j.bios.2004.07.026 ◽

2005 ◽

Vol 20 (8) ◽

pp. 1668-1673 ◽

Cited By ~ 91

Author(s):

A. Gutés ◽

F. Céspedes ◽

S. Alegret ◽

M. del Valle

Keyword(s):

Neural Network ◽

Phenolic Compounds ◽

Network Analysis ◽

Polyphenol Oxidase ◽

Amperometric Biosensor ◽

Neural Network Analysis ◽

Artificial Neural Network Analysis ◽