PREDICTIVE MODEL FOR ATMOSPHERIC CORROSION OFALUMINIUM ALLOY BY ARTIFICIAL NEURAL NETWORK

J Chin Soc Corr Pro

2006, Vol. 26

Issue (5): 272-274 DOI:

Research Report

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PREDICTIVE MODEL FOR ATMOSPHERIC CORROSION OFALUMINIUM ALLOY BY ARTIFICIAL NEURAL NETWORK

Haitao WANG;Enhou Han;

中国科学院金属研究所;材料环境腐蚀试验研究中心

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Abstract Atmospheric corrosion of aluminium alloy was predic ted using BP neural network,and relation between training error and predicting e rror was researched.Artificial Heural network(ANN) model is composed of seven in put nodes,five hidden layer nodes and one output node.Correlation coefficient for model is 0.8821,ANN predi ction result is close to practical data.By sensitivity analysis method,metallurg ical factor and environmental factor influence for atmospheric corrosion rate of aluminium alloy was researched.

Key words: BP neural network Prediction Atmospheric corrosion Sensitivity analysis

Received: 31 May 2005

ZTFLH:

TG174.2

Corresponding Authors: Haitao WANG E-mail: htwang@imr.ac.cn

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Haitao WANG; Enhou Han. PREDICTIVE MODEL FOR ATMOSPHERIC CORROSION OFALUMINIUM ALLOY BY ARTIFICIAL NEURAL NETWORK. J Chin Soc Corr Pro, 2006, 26(5): 272-274 .

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https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y2006/V26/I5/272

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