To reduce the complexity of the hardware implementation of neural network-based optical channel equalizers, we demonstrate that the performance of the biLSTM equalizer with approximated activation functions is close to that of the original model.

翻译：为降低基于神经网络的光信道均衡器硬件实现的复杂度，我们证明了采用近似激活函数的biLSTM均衡器性能接近原始模型。