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
Link To Document :
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