Name
Title | ||
|---|---|---|
Terminal Recurrent Neural Networks for Time-Varying Reciprocal Solving With Application to Trajectory Planning of Redundant Manipulators |
Abstract | ||
|---|---|---|
Time-varying matrix reciprocal problems are widely appeared in different matrix computations and engineering fields. Neural networks as a powerful tool have been developed to solve the time-varying problems. Recurrent neural networks (RNNs) are designed considering mainly for two aspects: 1) convergent precision and 2) convergent time. The core part of the existed neural methods is to design vario... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TSMC.2020.2998485 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | DocType | Volume |
Manipulators,Convergence,Recurrent neural networks,Mathematical model,Time-varying systems,Trajectory planning | Journal | 52 |
Issue | ISSN | Citations |
1 | 2168-2216 | 0 |
PageRank | References | Authors |
0.34 | 20 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying Kong | 1 | 18 | 6.81 |
| Yunliang Jiang | 2 | 134 | 22.20 |
| xiaoyun xia | 3 | 12 | 3.58 |