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中文摘要：
针对BP网络极易收敛于局部极小点与过拟合等缺点，在构建小波神经网络的基础上，提出用遗传算法优化BP神经网络的模拟电路故障诊断方法。该方法使用小波作为预处理工具，经PCA分析和归一化后提取输出信号的能量信息作为特征向量，用遗传BP神经网络作为故障识别器，对模拟电路故障进行诊断。与传统BP神经网络相比较，结果表明，该方法可明显改善神经网络结构、提高故障诊断的精度和速度。
英文摘要：
In order to solve the problems of＇BP（back-propagation） network usually converges to local minimum and over-fitting and other shortcomings, this paper developed a wavelet decomposition and GA based approach for analog circuits. Using the wavelet decomposition as a preprocessor, extracted the feature information by wavelet de-noising and optimized BP by GA. A comparison of our work with BPNN, which reveals that this work improves network structure and increase fauh diagnosis precision and velocity.
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