Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject recurrent neural network (RNN)
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 30-Jan-2024 | Efficient Predefined-Time Adaptive Neural Networks for Computing Time-Varying Tensor Moore–Penrose Inverse | Qi, Z; Ning, Y; Xiao, L; Wang, Z; He, Y |
| 24-Nov-2021 | Learning Nonstationary Time-Series With Dynamic Pattern Extractions | Wang, X; Zhang, H; Zhang, Y; Wang, M; Song, J; Lai, T; Khushi, M |