Pseudo Gradient Search for Solving Nonlinear Multiregression Based on the Choquet Integral

被引：2
作者：
Guo, Bo [1 ]
Chen, Wei
Wang, Zhenyuan [2 ]
机构：
[1] Univ Nebraska, Coll Informat Sci & Technol, Omaha, NE 68106 USA
[2] Univ Nebraska, Dept Math, Omaha, NE 68106 USA
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING ( GRC 2009) | 2009年
关键词：
D O I：
10.1109/GRC.2009.5255133
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：180 / +
页数：2
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