Modeling and optimization of tartaric acid reactive extraction from aqueous solutions: A comparison between response surface methodology and artificial neural network

Aqueous Solutions ◽

Response Surface ◽

Tartaric Acid ◽

Reactive Extraction ◽

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 ◽

Artificial neural network and response surface methodology modeling for diclofenac removal by quaternized mesoporous silica SBA-15 in aqueous solutions

Microporous and Mesoporous Materials ◽

10.1016/j.micromeso.2021.111497 ◽

2021 ◽

pp. 111497

Author(s):

Jin-Kyu Kang ◽

Yoon-Gu Kim ◽

Seung-Chan Lee ◽

Ho-Young Jang ◽

Suk-Hyun Yoo ◽

...

Keyword(s):

Neural Network ◽

Mesoporous Silica ◽

Aqueous Solutions ◽

Response Surface ◽

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 ◽

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 ◽

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 ◽

Efficiency of tannase enzyme for degradation of tannin from cashew apple juice: Modeling and optimization of process using artificial neural network and response surface methodology

Journal of Food Process Engineering ◽

10.1111/jfpe.13499 ◽

2020 ◽

Vol 43 (10) ◽

Cited By ~ 3

Author(s):

S. Abdullah ◽

Rama Chandra Pradhan ◽

Muhammed Aflah ◽

Sabyasachi Mishra

Keyword(s):

Neural Network ◽

Response Surface ◽

Apple Juice ◽

Cashew Apple Juice ◽

Cashew Apple ◽

Modeling and optimization of bioethanol production from breadfruit starch hydrolyzate vis-à-vis response surface methodology and artificial neural network

Renewable Energy ◽

10.1016/j.renene.2014.07.054 ◽

2015 ◽

Vol 74 ◽

pp. 87-94 ◽

Cited By ~ 98

Author(s):

Eriola Betiku ◽

Abiola Ezekiel Taiwo

Keyword(s):

Neural Network ◽

Response Surface ◽

Bioethanol Production ◽

Reactive separation of malic acid from aqueous solutions and modeling by artificial neural network (ANN) and response surface methodology (RSM)

Journal of Dispersion Science and Technology ◽

10.1080/01932691.2020.1838920 ◽

2020 ◽

pp. 1-10

Author(s):

Tais Evlik ◽

Yavuz Selim Aşçı ◽

Nilay Baylan ◽

Halil Gamsızkan ◽

Süheyla Çehreli

Keyword(s):

Neural Network ◽

Aqueous Solutions ◽

Response Surface ◽

Malic Acid ◽

Artificial Neural ◽

Reactive Separation ◽

Modeling and Optimization of Defluoridation by Calcined Ca-Al-(NO3)-LDH Using Response Surface Methodology and Artificial Neural Network Combined with Experimental Design

Journal of Hazardous Toxic and Radioactive Waste ◽

10.1061/(asce)hz.2153-5515.0000343 ◽

2017 ◽

Vol 21 (3) ◽

pp. 04016024 ◽

Cited By ~ 6

Author(s):

Ashok K. Gupta ◽

Partha S. Ghosal ◽

Suneel K. Srivastava

Keyword(s):

Neural Network ◽

Experimental Design ◽

Response Surface ◽

Materials Research Foundations - Photocatalytic Nanomaterials for Environmental Applications ◽

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

10.21741/9781945291593-15 ◽

2018 ◽

pp. 405-432

Keyword(s):

Neural Network ◽

Photocatalytic Degradation ◽

Response Surface ◽

Degradation Process ◽

Artificial Neural ◽