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...
Päätekijä: | Newton, M |
---|---|
Muut tekijät: | Papachristodoulou, A |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
2023
|
Aiheet: |
Samankaltaisia teoksia
-
Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems
Tekijä: Afroza Shirin, et al.
Julkaistu: (2023-01-01) -
High-speed batch processing of semidefinite programs with feedforward neural networks
Tekijä: Tamás Kriváchy, et al.
Julkaistu: (2021-01-01) -
Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method
Tekijä: Vali Asimit, et al.
Julkaistu: (2025-02-01) -
Achieving Network Stability via Optimal Pinning Control in Weighted Complex Networks
Tekijä: Saber Jafarizadeh
Julkaistu: (2024-01-01) -
The reliably stable neural network controllers' synthesis with the transient process parameters optimization
Tekijä: Serhii Vladov, et al.
Julkaistu: (2024-11-01)