Modeling and Optimization of Phenylacetyylcarbinol Synthesis via Benzaldehyde: A Case of Artificial Neural Network vs. Response Surface Methodology

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 ◽

Artificial Neural Network Ann

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 ◽

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 ◽

Artificial Neural Network Ann

Modeling and optimization of tannase production with Triphala in packed bed reactor by response surface methodology, genetic algorithm, and artificial neural network

3 Biotech ◽

10.1007/s13205-019-1763-z ◽

2019 ◽

Vol 9 (7) ◽

Cited By ~ 1

Author(s):

Subbalaxmi Selvaraj ◽

Ramachandra Murty Vytla ◽

G. S. Vijay ◽

Kannan Natarajan

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Response Surface ◽

Packed Bed ◽

Packed Bed Reactor ◽

Modeling and optimization of coal oil agglomeration using response surface methodology and artificial neural network approaches

International Journal of Mineral Processing ◽

10.1016/j.minpro.2017.04.009 ◽

2017 ◽

Vol 163 ◽

pp. 55-63 ◽

Cited By ~ 15

Author(s):

Anand Mohan Yadav ◽

Suresh Nikkam ◽

Pratima Gajbhiye ◽

Majid Hasan Tyeb

Keyword(s):

Neural Network ◽

Response Surface ◽

Artificial Neural ◽

Network Approaches ◽

Oil Agglomeration

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

Separation and Purification Technology ◽

10.1016/j.seppur.2010.08.016 ◽

2010 ◽

Vol 75 (3) ◽

pp. 273-285 ◽

Cited By ~ 68

Author(s):

N. Marchitan ◽

C. Cojocaru ◽

A. Mereuta ◽

Gh. Duca ◽

I. Cretescu ◽

...

Keyword(s):

Neural Network ◽

Aqueous Solutions ◽

Response Surface ◽

Tartaric Acid ◽

Reactive Extraction ◽