时间局部注意力与自适应解码:增强用于时间计算应用程序的尖端神经网络

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Published on: September 8, 2011

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Hanxiao Fan1, Hanle Zheng1, Zikai Wang2

  • 1Center for Brain-Inspired Computing Research, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China.

Neural networks : the official journal of the International Neural Network Society
|January 15, 2026
PubMed
概括

尖端神经网络 (SNN) 难以处理长序列. 时间局部注意力 (TLA) 和自适应解码 (AD) 增强SNN的时间计算,提高性能和训练速度.

关键词:
适应性解码 适应性解码序列学习的学习顺序.尖的神经网络的神经网络.时间局部关注时间局部关注

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