DocumentCode
2497900
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
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location
Barcelona
ISSN
1098-7576
Print_ISBN
978-1-4244-6916-1
Type
conf
DOI
10.1109/IJCNN.2010.5596930
Filename
5596930
Link To Document