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应用SOM神经网络,以不同阻抗参数对阻抗谱进行了自动分析。由于相位角和阻抗模值、相位角和阻抗变化率、相位角变化率和阻抗模值的数据组合,既可以反映阻抗谱形状的变化,又包括了阻抗谱大小的变化,应用SOM人工神经网络,获得了较好的分类结果,其中相位角和阻抗变化率的数据组合效果最好。
Using SOM neural network, the impedance spectra were automatically analyzed with different impedance parameters. Due to the combination of phase angle and impedance modulus, phase angle and impedance change rate, phase angle change rate and impedance modulus, it can not only reflect the change of impedance spectrum shape, but also the change of impedance spectrum size. Apply SOM artificial neural network , The better classification results were obtained. The data combination of phase angle and impedance change rate had the best effect.