• DocumentCode
    3345130
  • Title

    Research on Multidisciplinary Design Optimization Based Response Surface Technology of Artificial Neural Network

  • Author

    Wen, Hanyun ; Hu, Jie

  • Author_Institution
    Sch. of Comput. Sci., Yangtze Univ., Jingzhou, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    510
  • Lastpage
    514
  • Abstract
    In the paper, we constructed the response surface mold through the neural network, elaborated the concept and mathematics description of the response surface. Through a real example, we solved the coupling relationship during multidisciplinary as well as the synthesis coordination of many disciplines with multidisciplinary design based on the response surface. We completed the data exchanging and coordinating during each sub-discipline through the response surface of neural network and approached the optimal solution. The research indicates that the response face mold constructed with neural network can reduce the analysis time and enhance the precision to a great extent and help us seek for better design finally.
  • Keywords
    design; neural nets; optimisation; response surface methodology; artificial neural network; data coordination; data exchange; multidisciplinary design optimization; response face mold; response surface technology; Algorithm design and analysis; Artificial neural networks; Computer networks; Design engineering; Design optimization; Feeds; Genetics; Neural networks; Response surface methodology; Systems engineering and theory; artificial neural network; multidisciplinary optimization; response surface technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.28
  • Filename
    5402785