DocumentCode
3424233
Title
Pseudo gradient search for solving nonlinear multiregression based on the Choquet integral
Author
Guo, Bo ; Chen, Wei ; Wang, Zhenyuan
Author_Institution
Dept. of Comput. Sci., Univ. of Nebraska at Omaha, Omaha, NE, USA
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
180
Lastpage
183
Abstract
In some real optimization problems, the objective function may not be differentiable with respect to the unknown parameters at some points such that the gradient does not exist at those points. Replacing the classical gradient, this paper tries to use pseudo gradient search for solving a nonlinear optimization problem-nonlinear multiregression based on the Choquet integral with a linear core. It is a local search method with rapid search speed.
Keywords
integral equations; nonlinear programming; regression analysis; search problems; Choquet integral; local search method; nonlinear multiregression; nonlinear optimization problem; objective function; pseudo gradient search; Computer networks; Computer science; Data mining; Genetic algorithms; Mathematics; Neural networks; Predictive models; Regression analysis; Search methods; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255133
Filename
5255133
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