Experiments and Numerical Simulations of Supercritical Fluid Extraction for Hippophae rhamnoides L Seed Oil Based on Artificial Neural Networks-Reference-Cited by-同舟云学术

Experiments and Numerical Simulations of Supercritical Fluid Extraction for Hippophae rhamnoides L Seed Oil Based on Artificial Neural Networks

Published:2005-08-12 Issue:19 Volume:44 Page:7420-7427
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Yin Jian-Zhong¹,Xu Qin-Qin¹,Wei ¹,Wang Ai-Qin¹

Affiliation:

1. School of Chemical Engineering, Dalian University of Technology, Dalian 116012, P. R. China, and Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie049196s

Reference23 articles.

1. Use of neural net computing for statistical and kinetic modelling and simulation of supercritical fluid extractors

2. Supercritical Fluid Extraction of Dry-Milled Corn Germ with Carbon Dioxide

3. Characterization and processing of cottonseed oil obtained by extraction with supercritical carbon dioxide

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