A scheme is proposed for processing optical signals in a receiver of a communication system, based on complex fully connected neural networks. The influence of the main characteristics of the neural network on the efficiency of nonlinear distortion compensation is studied. A significant advantage of the proposed scheme over real-valued neural networks is demonstrated.

中文翻译：

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使用复杂的全连接神经网络来补偿光纤通信线路中的非线性效应

基于复杂的全连接神经网络，提出了一种用于在通信系统的接收器中处理光信号的方案。研究了神经网络的主要特性对非线性失真补偿效率的影响。证明了所提出的方案相对于实值神经网络的显着优势。