Modeling and Optimization of Photocatalytic Degradation Process of 4-Chlorophenol using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Photocatalytic Degradation ◽

Response Surface ◽

Degradation Process ◽

Artificial Neural ◽

Application of artificial neural network (ANN) and response surface methodology (RSM) for modeling and optimization of the contact angle of rice leaf surfaces

Acta Physiologiae Plantarum ◽

10.1007/s11738-020-03040-0 ◽

2020 ◽

Vol 42 (4) ◽

Author(s):

Jiantao Zhang ◽

Gengchun Lin ◽

Xuanchun Yin ◽

Jiajun Zeng ◽

Sheng Wen ◽

...

Keyword(s):

Neural Network ◽

Contact Angle ◽

Response Surface ◽

Rice Leaf ◽

Leaf Surfaces ◽

Artificial Neural ◽

International Journal of Mechanical and Production Engineering Research and Development ◽

Immobilized PAni-TiO2 Nano-Photocatalyst Modeling for Photocatalytic Degradation of 1, 2-Dichloroethane using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

10.24247/ijmperdaug201973 ◽

2019 ◽

Vol 9 (4) ◽

pp. 731-744

Author(s):

Mahdi Mohsenzadeh et al., Mahdi Mohsenzadeh et al., ◽

Keyword(s):

Neural Network ◽

Photocatalytic Degradation ◽

Response Surface ◽

Artificial Neural ◽

Modeling and optimization of capsaicin extraction from Capsicum annuum L. using response surface methodology (RSM), artificial neural network (ANN), and Simulink simulation

Industrial Crops and Products ◽

10.1016/j.indcrop.2021.113869 ◽

2021 ◽

Vol 171 ◽

pp. 113869

Author(s):

Najet Gammoudi ◽

Mahmoud Mabrouk ◽

Talel Bouhemda ◽

Kamel Nagaz ◽

Ali Ferchichi

Keyword(s):

Neural Network ◽

Response Surface ◽

Capsicum Annuum ◽

Capsicum Annuum L ◽

Simulink Simulation ◽

Artificial Neural ◽

Statistical Modeling and Optimization of Itaconic Acid Reactive Extraction using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Chemical Data Collections ◽

10.1016/j.cdc.2021.100806 ◽

2021 ◽

pp. 100806

Author(s):

Suchith Chellapan ◽

Dipaloy Datta ◽

Sushil Kumar ◽

Hasan Uslu

Keyword(s):

Neural Network ◽

Response Surface ◽

Statistical Modeling ◽

Itaconic Acid ◽

Reactive Extraction ◽

Artificial Neural ◽

Prediction of surface roughness in turning of duplex stainless steel (DSS) using response surface methodology (RSM) and artificial neural network (ANN)

Materials Today Proceedings ◽

10.1016/j.matpr.2021.05.118 ◽

2021 ◽

Author(s):

Mahesh Gopal

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Stainless Steel ◽

Duplex Stainless Steel ◽

Response Surface ◽

Artificial Neural ◽

Modeling and Optimization of Transesterification of Beniseed Oil to Beniseed Methylester: A Case of Artificial Neural Network versus Response Surface Methodology

International Journal of Chemical and Process Engineering Research ◽

10.18488/journal.65/2015.2.3/65.3.30.43 ◽

2015 ◽

Vol 2 (3) ◽

pp. 30-43 ◽

Cited By ~ 1

Author(s):

Adepoju T F ◽

Okunola A A

Keyword(s):

Neural Network ◽

Response Surface ◽

Artificial Neural

Statistical optimization of the phytoremediation of arsenic by Ludwigia octovalvis- in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN)

International Journal of Phytoremediation ◽

10.1080/15226514.2017.1413337 ◽

2018 ◽

Vol 20 (7) ◽

pp. 721-729 ◽

Cited By ~ 16

Author(s):

Harmin Sulistiyaning Titah ◽

Mohd Izuan Effendi Bin Halmi ◽

Siti Rozaimah Sheikh Abdullah ◽

Hassimi Abu Hasan ◽

Mushrifah Idris ◽

...

Keyword(s):

Neural Network ◽

Response Surface ◽

Statistical Optimization ◽

Artificial Neural ◽

Reed Bed ◽

A study on the energy and exergy of Ohmic heating (OH) process of sour orange juice using an artificial neural network (ANN) and response surface methodology (RSM)

Food Science & Nutrition ◽

10.1002/fsn3.1741 ◽

2020 ◽

Vol 8 (8) ◽

pp. 4432-4445

Author(s):

Mohammad Vahedi Torshizi ◽

Mohsen Azadbakht ◽

Mahdi Kashaninejad

Keyword(s):

Neural Network ◽

Response Surface ◽

Orange Juice ◽

Ohmic Heating ◽

Sour Orange ◽

Energy And Exergy ◽

Artificial Neural ◽

Extraction of Citrullus colocynthis L. seed oil by supercritical carbon dioxide process using response surface methodology (RSM) and artificial neural network (ANN) approaches

Industrial Crops and Products ◽

10.1016/j.indcrop.2020.113002 ◽

2020 ◽

Vol 158 ◽

pp. 113002

Author(s):

Moncef Chouaibi ◽

Khouloud Rigane ◽

Giovanna Ferrari

Keyword(s):

Neural Network ◽

Carbon Dioxide ◽

Supercritical Carbon Dioxide ◽

Response Surface ◽

Seed Oil ◽

Citrullus Colocynthis ◽

Artificial Neural ◽

Modeling and optimization of chromium adsorption onto clay using response surface methodology, artificial neural network, and equilibrium isotherm models

Environmental Progress & Sustainable Energy ◽

10.1002/ep.13260 ◽

2019 ◽

Vol 38 (6) ◽

Cited By ~ 5

Author(s):

Fatemeh Notghi Oskui ◽

Hassan Aghdasinia ◽

Mahsa Golghasemi Sorkhabi

Keyword(s):

Neural Network ◽

Response Surface ◽

Isotherm Models ◽

Equilibrium Isotherm ◽

Chromium Adsorption ◽

Artificial Neural