Comparative Study of Modeling Sesame Oil Extraction Process By Using Hexane

被引：0
|
作者：
Osman, Haitham M. [1 ]
机构：
[1] King Khalid Univ, Dept Chem Engn, Abha 61413, Saudi Arabia
来源：
2018 18TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2018年
关键词：
ANN; RBF; Response Surface Method; extraction; OPTIMIZATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a systematic approach for comparing popular modeling techniques such as Response Surface Method, Radial Basis Functions (RBF), and Artificial Neural Network (ANN) to model hexane sesame oil extraction process is investigated, based on multiple performance criteria.
引用
收藏
页码：1663 / 1666
页数：4
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