Generally, it is difficult to determine in advance a suitable network structure when a multi layer perceptron neural networks is used for a special fault diagnosis problem.

一般对特定的基于多层感知器的故障诊断问题，很难确定神经网络的结构。

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The multi-layer perceptron is introduced to charcacterize the microstrip discontinuity by describings-parameters.

本文采用多层感知器建立了微带不连续性的神经网络模型。

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Numerical experiments show that the NNKBN model has many advantages over the conventional multi-layer perceptron model.

数值实验表明NNKBN模型在许多方面优于传统的多层感知器模型。

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