• 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