• DocumentCode
    3669263
  • Title

    Adaptive neuro-fuzzy inference system with evolutionary algorithm for designing process parameters of color filter

  • Author

    Ping-Yi Chou;Jinn-Tsong Tsai;Wen-Hsien Ho;Jyh-Horng Chou

  • Author_Institution
    Institute of Engineering Science and Technology, National Kaohsiung First University of Science and Technology, 1 University Road, Yenchao, Kaohsiung 824, Taiwan
  • fYear
    2015
  • Firstpage
    1555
  • Lastpage
    1556
  • Abstract
    The orthogonal array, signal-to-noise ratio, adaptive network-based fuzzy inference system (ANFIS), and hybrid Taguchi-genetic evolutionary algorithm (HTGEA) is combined to optimize the process parameters for chemical mechanical polishing process of color filter (CMPPCF). The HTGEA in the ANFIS not only find the most suitable membership function types but also find the optimal premise and consequent parameters.
  • Keywords
    "Image color analysis","Filtering algorithms","Roads","Chemicals","Manufacturing processes","Data models","Training data"
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2015 IEEE International Conference on
  • ISSN
    2161-8070
  • Electronic_ISBN
    2161-8089
  • Type

    conf

  • DOI
    10.1109/CoASE.2015.7294321
  • Filename
    7294321
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3669263