Linear Simultaneous Equations’ Neural Solution and Its Application to Convex Quadratic Programming with Equality-Constraint
Joint Authors
Yi, Chenfu
Zhong, Jian
Chen, Yuhuan
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-28
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
A gradient-based neural network (GNN) is improved and presented for the linear algebraic equation solving.
Then, such a GNN model is used for the online solution of the convex quadratic programming (QP) with equality-constraints under the usage of Lagrangian function and Karush-Kuhn-Tucker (KKT) condition.
According to the electronic architecture of such a GNN, it is known that the performance of the presented GNN could be enhanced by adopting different activation function arrays and/or design parameters.
Computer simulation results substantiate that such a GNN could obtain the accurate solution of the QP problem with an effective manner.
American Psychological Association (APA)
Chen, Yuhuan& Yi, Chenfu& Zhong, Jian. 2013. Linear Simultaneous Equations’ Neural Solution and Its Application to Convex Quadratic Programming with Equality-Constraint. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-491287
Modern Language Association (MLA)
Chen, Yuhuan…[et al.]. Linear Simultaneous Equations’ Neural Solution and Its Application to Convex Quadratic Programming with Equality-Constraint. Journal of Applied Mathematics No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-491287
American Medical Association (AMA)
Chen, Yuhuan& Yi, Chenfu& Zhong, Jian. Linear Simultaneous Equations’ Neural Solution and Its Application to Convex Quadratic Programming with Equality-Constraint. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-491287
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491287