Abstract
A novel class of neural networks for nonlinear programming is presented. The convergence and stability of these neural networks are analyzed, and the implementation of their circuits is discussed. Simulation demonstrates that these neural networks can effectively solve nonlinear programming problems.
| Original language | English |
|---|---|
| Pages (from-to) | 24-28 |
| Number of pages | 5 |
| Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
| Volume | 26 |
| Issue number | 1 |
| Publication status | Published - 1998 |
| Externally published | Yes |