Name
Title | ||
|---|---|---|
Pseudo gradient search for solving nonlinear multiregression based on the Choquet integral |
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/GRC.2009.5255133 | GrC |
Keywords | Field | DocType |
integral equations,nonlinear programming,regression analysis,objective function,local search method,pseudo gradient search,search problems,nonlinear optimization problem,nonlinear multiregression,choquet integral,genetic algorithms,data mining,local search,optimization,nonlinear optimization,standardization,optimization problem | Gradient method,Random search,Mathematical optimization,Gradient descent,Nonlinear programming,Nonlinear conjugate gradient method,Artificial intelligence,Choquet integral,Local search (optimization),Pattern search,Machine learning,Mathematics | Conference |
ISBN | Citations | PageRank |
978-1-4244-4830-2 | 1 | 0.41 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Guo | 1 | 1 | 0.41 |
| Wei Chen | 2 | 140 | 48.88 |
| Zhenyuan Wang | 3 | 684 | 90.22 |