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...

書誌詳細
第一著者:	Newton, M
その他の著者:	Papachristodoulou, A
フォーマット:	学位論文
言語:	English
出版事項:	2023
主題:	Semidefinite programming Control Neural networks (Computer science) Lyapunov stability

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