DocumentCode
141777
Title
Application and Optimization of RSM Algorithm in Aqueous Two-Phase Extraction
Author
Lifeng Ren ; Liye Ren ; Jing Wang ; Xiaoli Wang
Author_Institution
Sch. of Inf. Eng., Jilin Agric. Sci. & Technol. Coll., Jilin, China
fYear
2014
fDate
24-27 Aug. 2014
Firstpage
524
Lastpage
527
Abstract
With the purpose of improving the efficiency of experiments on aqueous two-phase system, optimizing experimental data and extracting the optimal value from results of experiments, experimental studies and applications in aqueous two-phase system are optimized through using SAS programming language and RSM algorithm in SAS statistical system, which compose the main content of this paper. The principle and formula of response surface methodology are mainly researched in this paper. In addition, explanation of response surface methodology through algorithm and description of such method through corresponding program are also studied.
Keywords
chemical engineering computing; response surface methodology; statistical analysis; RSM algorithm optimization; SAS programming language; SAS statistical system; aqueous two-phase extraction; aqueous two-phase system; response surface methodology; Algorithm design and analysis; Analytical models; Data mining; Response surface methodology; Statistical analysis; Surface treatment; Synthetic aperture sonar; Optimization; RSM Algorithm; Response Surface Methodology; SAS System;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4799-5078-2
Type
conf
DOI
10.1109/DASC.2014.101
Filename
6945746
Link To Document