Comparison of Response Surface Methodology and Artificial Neural Network for Modeling Xylose-to-Xylitol Bioconversion-Reference-Cited by-同舟云学术

Comparison of Response Surface Methodology and Artificial Neural Network for Modeling Xylose-to-Xylitol Bioconversion

Published:2016-11-30 Issue:1 Volume:40 Page:122-129
ISSN:0930-7516
Container-title:Chemical Engineering & Technology
language:en
Short-container-title:Chem. Eng. Technol.

Author:

Sampaio Fábio Coelho,de Faria Janaína Teles,de Lima Silva Gabriel Dumond,Gonçalves Ricardo Melo,Pitangui Cristiano Grijó,Casazza Alessandro Alberto,Arni Saleh Al,Converti Attilio

Funder

the Brazilian CNPq

Deanship of Scientific Research at King Saud University

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference34 articles.

1. Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process

2. Comparison of artificial neural network (ANN) and response surface methodology (RSM) in fermentation media optimization: Case study of fermentative production of scleroglucan

3. Biosorption of nickel(II) from aqueous solution by Aspergillus niger: Response surface methodology and isotherm study

4. Evaluation of Dried Sweet Sorghum Stalks as Raw Material for Methane Production

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