Abstract
This paper surveys two neural networks for solving nonlinear convex programs with the second-order cone constraints. The neural network models are designed based on two different C-functions associated with a second-order cone. Various stabilities along with the neural networks are presented. Numerical comparisons are also reported.
| Original language | English |
|---|---|
| Pages (from-to) | 1621-1641 |
| Number of pages | 21 |
| Journal | Journal of Nonlinear and Convex Analysis |
| Volume | 19 |
| Issue number | 10 |
| Publication status | Published - 2018 |
Keywords
- Generalized FB function
- Neural network
- Second-order cone
- Stability
ASJC Scopus subject areas
- Analysis
- Geometry and Topology
- Control and Optimization
- Applied Mathematics