Comparison between developed models using response surface methodology (RSM) and artificial neural networks (ANNs) with the purpose to optimize oligosaccharide mixtures production from sugar beet pulp-Reference-Cited by-同舟云学术

Comparison between developed models using response surface methodology (RSM) and artificial neural networks (ANNs) with the purpose to optimize oligosaccharide mixtures production from sugar beet pulp

Published:2016-12 Issue: Volume:92 Page:290-299
ISSN:0926-6690
Container-title:Industrial Crops and Products
language:en
Short-container-title:Industrial Crops and Products

Author:

Astray Gonzalo^ORCID,Gullón Beatriz,Labidi Jalel,Gullón Patricia

Funder

Xunta de Galicia, Consellería de Cultura, Educación e Ordenación Universitaria

Spanish Ministry of Economy and Competitivity

Publisher

Elsevier BV

Subject

Agronomy and Crop Science

Reference38 articles.

1. Optimization of Bauhinia monandra seed oil extraction via artificial neural network and response surface methodology: a potential biofuel candidate;Akintunde;Ind. Crops Prod.,2015

2. Multilayer perceptron neural network for flow prediction;Araujo;J. Environ. Monit.,2011

3. Airborne castanea pollen forecasting model for ecological and allergological implementation;Astray;Sci. Total Environ.,2016

4. Modeling and optimization II: comparison of estimation capabilities of response surface methodology with artificial neural networks in a biochemical reaction;Bas;J. Food Eng.,2007

5. Incorporation of negative rules and evolution of a fuzzy controller for yeast fermentation process;Birle;Bioprocess Biosyst. Eng.,2016

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Value-added product from sugarcane molasses: Conversion of sugarcane molasses to non-caloric sweetener for applications in food and pharmaceutical industries;Bioresource Technology;2024-03

2. Advances in modeling techniques for the production and purification of biomolecules: A comprehensive review;Journal of Chromatography B;2024-01

3. Artificial Intelligence Application in Bioethanol Production;International Journal of Energy Research;2023-10-10

4. Modeling and optimization of photo-fermentation biohydrogen production from co-substrates basing on response surface methodology and artificial neural network integrated genetic algorithm;Bioresource Technology;2023-04

5. Utilization of seafood byproducts: biological activities and biotechnological applications;Egyptian Journal of Chemistry;2023-02-28