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

J Chin Soc Corr Pro

2008, Vol. 28

Issue (4): 201-204 DOI:

Research Report

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

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西北工业大学理学院

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Abstract 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

Key words: GM(1 1) artificial neural network Ocean-water corrosion prediction

Received: 07 December 2006

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;. Gray Neural Network and Its Application to Forecasting Ocean-water Corrosion. J Chin Soc Corr Pro, 2008, 28(4): 201-204 .

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https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y2008/V28/I4/201

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