采用电化学方法测定了3G钢在不同海水环境参数下的腐蚀速度,并根据四层BP神经网络分析了3C钢腐蚀速度与海水环境参数的相关性,建立了3C钢在海洋环境中腐蚀速度的人工神经网络模型.
Seawater environmental factors are important to corrosion rate of metals, however,because of the complecity of relationship between environmental factors,it is difficult to describe the relationship by a certain definitive function.Artificial neural network (ANN)has great capability of simulating polynary nonlinear system,and it is suitable to deal with complex data.Corrosion rate of 3C steel in differert seawater environmental factors was measured by electrochemical methods.A four - layer - BP - ANN was set up and dealt with above data. The relative error between results calculated and measured was small, which showed that ANN was suitable to apply in the field of marine corrosion.
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