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 :
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