An activated variable parameter gradient‐based neural network for time‐variant constrained quadratic programming and its applications
Abstract This study proposes a novel gradient‐based neural network model with an activated variable parameter, named as the activated variable parameter gradient‐based neural network (AVPGNN) model, to solve time‐varying constrained quadratic programming (TVCQP) problems. Compared with the existing...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-09-01
|
| Series: | CAAI Transactions on Intelligence Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cit2.12192 |