Name
Title | ||
|---|---|---|
Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming. |
Abstract | ||
|---|---|---|
Recent reports show that projection neural networks with a low-dimensional state space can enhance computation speed obviously. This paper proposes two projection neural networks with reduced model dimension and complexity (RDPNNs) for solving nonlinear programming (NP) problems. Compared with existing projection neural networks for solving NP, the proposed two RDPNNs have a low-dimensional state ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNNLS.2019.2927639 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Neural networks,Optimization,Computational modeling,Computational complexity,Programming,Manganese | Journal | 31 |
Issue | ISSN | Citations |
6 | 2162-237X | 4 |
PageRank | References | Authors |
0.38 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youshen Xia | 1 | 1795 | 123.60 |
| Jun Wang | 2 | 9228 | 736.82 |
| Wenzhong Guo | 3 | 611 | 76.01 |