Analysis of robust neural networks for control
<p>The prevalence of neural networks in many application areas is expanding at an increasing rate, with the potential to provide huge benefits across numerous sectors. However, one of the greatest shortcomings of a trained neural network is its sensitivity to adversarial attacks. It is becomin...
1. Verfasser: | Newton, M |
---|---|
Weitere Verfasser: | Papachristodoulou, A |
Format: | Abschlussarbeit |
Sprache: | English |
Veröffentlicht: |
2023
|
Schlagworte: |
Ähnliche Einträge
Ähnliche Einträge
-
Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems
von: Afroza Shirin, et al.
Veröffentlicht: (2023-01-01) -
High-speed batch processing of semidefinite programs with feedforward neural networks
von: Tamás Kriváchy, et al.
Veröffentlicht: (2021-01-01) -
Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method
von: Vali Asimit, et al.
Veröffentlicht: (2025-02-01) -
Achieving Network Stability via Optimal Pinning Control in Weighted Complex Networks
von: Saber Jafarizadeh
Veröffentlicht: (2024-01-01) -
The reliably stable neural network controllers' synthesis with the transient process parameters optimization
von: Serhii Vladov, et al.
Veröffentlicht: (2024-11-01)