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Updated: Jul 22, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

对于可解释的神经网络的对齐-可逆性规范化

Borui Zhang, Qihang Rao, Jie Zhou

    IEEE transactions on pattern analysis and machine intelligence
    |February 17, 2026
    PubMed
    概括

    本研究介绍了Bort和DBort,这些新型优化器通过理论原理和参数约束来增强深度神经网络的可解释性. 波特提高了模型的准确性,并产生了可解释的对抗性例子,提高了AI的可靠性.

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