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 :
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