根据描述大信号激励下组件响应的黑箱模型——非线性散射参数，提出利用有限实验数据通过人工神经网络建模获得组件非线性散射参数的方法，利用该方法对二极管构成的非线性组件的预测结果与实验测量结果吻合良好。推导了二端口非线性器件与三端口线性器件的非线性散射参数级联计算公式，并讨论非线性散射参数在传导干扰分析中的应用。通过具体实例的计算结果与实测结果的对比，证明了基于人工神经网络学习模型的非线性散射参数获取方法非常便于包含非线性组件的传导干扰分析，这对于系统级电磁效应分析具有重要意义。

A method for determining nonlinear large-signal S-parameters from artificial neural network model trained with limited measured data is proposed. Predicted nonlinear S-parameters of a nonlinear device composed of a Schottky diode are in good agreements with measurements. Then the formula for calculating nonlinear S-parameters of network composed of a two-port nonlinear device cascaded with a three-port linear device is deduced, and the application of nonlinear S-parameters in conducted interference analysis is discussed. Finally, the applicability of the proposed method for conducted interference analysis involving nonlinear components is demonstrated by two different cascaded networks.