DocumentCode
1299762
Title
Neurocomputing with time delay analysis for solving convex quadratic programming problems
Author
Chen, Yen-Hung ; Fang, Shu-Cherng
Author_Institution
Product Manage., i2 Technol., Irving, TX, USA
Volume
11
Issue
1
fYear
2000
fDate
1/1/2000 12:00:00 AM
Firstpage
230
Lastpage
240
Abstract
This paper presents a neural-network computational scheme with time-delay consideration for solving convex quadratic programming problems. Based on some known results, a delay margin is explicitly determined for the stability of the neural dynamics, under which the states of the neural network does not oscillate. The configuration of the proposed neural network is provided. Operational characteristics of the neural network are demonstrated via numerical examples
Keywords
convex programming; delays; mathematics computing; neural nets; quadratic programming; stability; convex programming; neural dynamics; neural-network; neurocomputing; quadratic programming; stability; time delay; Computational efficiency; Delay effects; Dynamic programming; Hopfield neural networks; Linear programming; Neural networks; Neurons; Quadratic programming; Stability analysis; Symmetric matrices;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.822526
Filename
822526
Link To Document