Analysis of robust neural networks for control

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...

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Bibliografische gegevens
Hoofdauteur:	Newton, M
Andere auteurs:	Papachristodoulou, A
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	2023
Onderwerpen:	Semidefinite programming Control Neural networks (Computer science) Lyapunov stability

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