Currently displaying 1 – 1 of 1

Showing per page

Order by Relevance | Title | Year of publication

Neural networks learning as a multiobjective optimal control problem.

Maciej Krawczak — 1997

Mathware and Soft Computing

The supervised learning process of multilayer feedforward neural networks can be considered as a class of multi-objective, multi-stage optimal control problem. An iterative parametric minimax method is proposed in which the original optimization problem is embedded into a weighted minimax formulation. The resulting auxiliary parametric optimization problems at the lower level have simple structures that are readily tackled by efficient solution methods, such as the dynamic programming or the error...

Page 1

Download Results (CSV)