运用概率统计方法，计算了点蚀平均密度、点蚀平均深度和最大点蚀深度。

Applying the probabilistic method, the average density, the average depth and the deepest depth of pitting are calculated.

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运用LY12CZ的腐蚀实验数据，根据高强铝合金的失效模式（点蚀-晶间腐蚀-剥蚀），建立了对最大腐蚀深度分类的概率神经网络模型，输出结果与实验数据比较吻合。

Make use of available experimental data of LY12CZ aluminum alloy, a probabilistic neural network was developed to classify the maximum corrosion depth ranges based on the material failure mode.

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