通过紧密的激发-抑制平衡在浅尖反复神经网络中实现最佳准确性和稳健性

Shiwen Li1,2,3, Junsong Wang1,2,4, Syeda Shamaila Zareen1

  • 1School of Artificial Intelligence, Shenzhen Technology University, Shenzhen 518118, P. R. China.

概括

我们引入了一种激发抑制平衡的浅层尖端循环神经网络 (EI-SRNN),提高了准确性和稳定性. 这种生物启发的模型实现了低计算复杂度的最佳性能,克服了传统的权衡.

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