灰色神经网络模型在海水腐蚀预测中的应用

中国腐蚀与防护学报, 2008, 28(4): 201-204.

灰色神经网络模型在海水腐蚀预测中的应用

西北工业大学理学院

关键词： GM(1 , GM(1 , 1) artificial neural network , Ocean-water corrosion

Gray Neural Network and Its Application to Forecasting Ocean-water Corrosion

根据实际海水材料腐蚀数据，将灰色预测模型GM（1，1）与径向基（Radial basis function，RBF）神经网络预测模型结合，建立预测碳钢、低合金钢在实际海水环境中平均腐蚀速率的灰色神经网络模型。结果表明，灰色RBF网络建模优于传统灰色预测模型，符合海水腐蚀的特点。

According to material corrosion data, a grey neural network forecasting model is proposed. The model is integrating GM(1,1)model and RBF artificial neural network model and it is also simulated using the material corrosion data .The result showed that the grey neural network integrated forecasting model could satisfactorily predict the corrosion rate of carbon steel and low alloy steel in different sea water environment for a long time, and it also give a better prediction of the corrosion than those given by GM(1,1) model

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