论文标题
部分可观测时空混沌系统的无模型预测
Spiking Neural Network Equalization for IM/DD Optical Communication
论文作者
论文摘要
适用于电子神经形态硬件的尖峰神经网络（SNN）均衡器模型设计用于IM/DD链接。 SNN与人工神经网络达到了相同的位率率，表现优于线性均衡。
A spiking neural network (SNN) equalizer model suitable for electronic neuromorphic hardware is designed for an IM/DD link. The SNN achieves the same bit-error-rate as an artificial neural network, outperforming linear equalization.
