故障神经网络

Shiuan-Wen Chen, Brendan Duke, P. Aarabi
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引用次数: 0

摘要

本研究旨在通过使用MNIST数据集[1]训练的神经网络模型,研究神经系统对损伤的反应。通过多个实验来检验神经网络损伤与准确率之间的关系。研究了受损的神经网络如何在另一个神经网络的帮助下恢复其功能或准确性。通过分析这些结果,可以更好地了解神经系统对损伤的反应能力和适应神经网络变化的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Faulty Neural Networks
This study aims to investigate the response of the nervous system to injury through experiments using a neural network model trained with the MNIST dataset [1]. Multiple experiments are performed to examine the relationship between neural network damage and accuracy. How the damaged network can restore its functionality or accuracy with the aid of another neural network is also investigated. By analyzing these results, a better understanding of the nervous system’s ability to respond to injury and adapt to changes in neural networks can be gained.
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