• DocumentCode
    2468698
  • Title

    Fitting four-modal sedimentary grain-size distribution with gradient descent method

  • Author

    Chen, Haibo ; Lv, Xianqing ; Qiao, Yansong

  • Author_Institution
    Laboratory of Physical Oceanography, Ocean University of China, Qingdao, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    5987
  • Lastpage
    5990
  • Abstract
    Gradient descent (GD) method is used to fit the the laser grain-size distribution of the sediments with a sum of four weighted lognormal functions. The numerical results indicate that the GD method is not only easy to operate but also could effectively optimize the parameters of the fitting function with the error decreasing steadily. Meanwhile the overall fitting results are satisfactory. As a new way of data fitting, the GD method could also be used to solve other optimization problems.
  • Keywords
    Cost function; Fitting; Least squares approximation; Sediments; Sun; gradient descent; laser grain-size; mixture distribution of four lognormal components; nonlinear least squares data fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing, China
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965719
  • Filename
    5965719