Training state metrics for the Levenberg-Marquardt algorithm, showing gradient, μ, and validation checks across 26 epochs.

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Bibliographic Details
Main Author:	Quxi Kuang (22493270) (author)
Other Authors:	Xianglin Kuang (22493273) (author)
Published:	2025
Subjects:	Biotechnology Biological Sciences not elsewhere classified Information Systems not elsewhere classified support vector machines attacks within internet artificial neural network ann ), achieving adaptive security solutions 7 %, precision deep learning models 93 %, recall various cyber threats deep learning 93 %, contemporary threats detecting cyber 93 %. xlink "> time detection robust solution research contributes paper examines marquardt algorithm highly suitable findings indicate escalating challenge based approach attack detection accuracy rate
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Training state metrics for the Levenberg-Marquardt algorithm, showing gradient, <i>μ</i>, and validation checks across 26 epochs.