A neural network architecture is proposed to determine the number of solitons generated by random processes in optical wavelength-division multiplexed telecommunication systems with QPSK, 16-QAM, 64-QAM, and 1024-QAM modulation. The dependence of the prediction quality of a neural network with a special architecture on the number of soliton modes in the signal and the parameters of this signal is studied.

中文翻译：

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应用神经网络确定直接 Zakharov – Shabat 问题的离散谱

提出了一种神经网络架构，用于确定采用 QPSK、16-QAM、64-QAM 和 1024-QAM 调制的光波分复用电信系统中随机过程产生的孤子数量。研究了具有特殊结构的神经网络的预测质量对信号中孤子模式数量和该信号参数的依赖性。