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
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;
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2014 IEEE 12th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5078-2
DOI :
10.1109/DASC.2014.101
