Optimization of additive contents in cottonseed meals during the solid-state fermentation using response surface methodology and artificial neural network-based genetic algorithm

Optimization of additive contents in cottonseed meals during the solid-state fermentation using response surface methodology and artificial neural network-based genetic algorithm

The response surface methodology (RSM) and an artificial neural network-based genetic algorithm (ANN-GA) were carried out to investigate the effects of urea content, Na<sub>2</sub>CO<sub>3</sub> content and rapeseed meal content on free gossypol detoxification from cottonseed...

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Bibliographic Details
Main Authors: TANG Jiang-wu, SUN Hong, YAO Xiao-hong, WU Yi-fei, WANG Xin
Format: Article
Language:English
Published: Zhejiang University Press 2011-01-01
Series:浙江大学学报. 农业与生命科学版
Subjects:
cottonseed meal
free gossypol
optimization
response surface methodology
neural network
genetic algorithm
Online Access:https://www.academax.com/doi/10.3785/j.issn.1008-9209.2011.01.014
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https://www.academax.com/doi/10.3785/j.issn.1008-9209.2011.01.014

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