Title :
A new delayed projection neural network for solving quadratic programming problems
Author :
Huang, Banan ; Zhang, Huaguang ; Wang, Zhanshan ; Dong, Meng
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shengyang, China
Abstract :
In this paper, a new delayed projection neural network with mixed delays is proposed for solving a class of quadratic programming (QP) problems. By the Lyapunov-Krasovskii theory and the linear matrix inequality (LMI) method, the proposed neural network is proved to be convergent to the optimal solution of the QP problems exponentially. The validity of the proposed neural network is verified by two simulation examples.
Keywords :
Lyapunov methods; delays; linear matrix inequalities; neural nets; quadratic programming; Lyapunov-Krasovskii theory; delayed projection neural network; linear matrix inequality method; mixed delays; quadratic programming problems;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596930
