,

Shi Gu1,2, Marcelo G Mattar3, Huajin Tang4,5

  • 1School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.

Science advances
|July 26, 2024
PubMed
概括

神经网络的模块化预测了持续学习任务的性能. 在学习过程中增加了模块化的灵活性,提高了网络的准确性,并揭示了新的重新配置模式.