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本文介绍了一种基于自组织概率神经网络的信号分选方法，主要讨论了这种神经网络在雷达信号分选中的应用，提出了一种结合神经网络与时域脉冲重复周期的分选系统，通过大量仿真实验探讨了正确分选的极限条件。
This paper introduces a signal sorting method based on self-organizing probabilistic neural network, mainly discusses the application of this neural network in radar signal sorting, and presents a sorting system combining neural network and pulse repetition period in time domain. Through a large number of simulation experiments to explore the right conditions for sorting.