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
Link To Document :
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