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A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations
- Source :
-
Neural Networks . Sep2004, Vol. 17 Issue 7, p1003-1015. 13p. - Publication Year :
- 2004
-
Abstract
- This paper presents a recurrent neural network for solving strict convex quadratic programming problems and related linear piecewise equations. Compared with the existing neural networks for quadratic program, the proposed neural network has a one-layer structure with a low model complexity. Moreover, the proposed neural network is shown to have a finite-time convergence and exponential convergence. Illustrative examples further show the good performance of the proposed neural network in real-time applications. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 08936080
- Volume :
- 17
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Neural Networks
- Publication Type :
- Academic Journal
- Accession number :
- 14102067
- Full Text :
- https://doi.org/10.1016/j.neunet.2004.05.006