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中文摘要：
为了更好地对电磁兼容进行预测，提出采用人工神经网络的方法。为了改善BP神经网络的性能，提出如下两步改进：采用剪枝法计算最佳隐层神经元数目，同时采用共轭梯度-LM算法计算网络权值。以平行线间电磁耦合干扰为具体算例，证明本文算法的预测结果的均方误差仅有10^-11数量级。说明，本文算法有效。
英文摘要：
In order to predict the electromagnetic compatibility more effectively, an improved method based on artificial neural network was proposed. Two improvements were advanced for the goal of improving the performance of neural network ： on one hand the pruning method was used to get the optimal number of neurons in hidden layer, on the other hand a novel training method based on the combination of conjugate gradient and Levenberg-Marquardt was presented to calculate the weights of neural networks. The specific example on electromagnetic coupling inter- ference between two parallel wires demonstrates the median square error of the prediction is more or less only 10-11 order of magnitude. Thus, this proposed algorithm is effective.
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