APPLICATION OF NEURAL NETWORKS TO ATMOSPHERIC CORROSION OF CARBON STEEL AND LOW ALLOY STEELS

J Chin Soc Corr Pro

1997, Vol. 17

Issue (4): 303-306 DOI:

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APPLICATION OF NEURAL NETWORKS TO ATMOSPHERIC CORROSION OF CARBON STEEL AND LOW ALLOY STEELS

CAI Jianping KE Wei (Institute of Corrosion and Protection of Metals; Chinese Academy of Sciences)

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Abstract Neural network (BP algorithm) was applied to atmospheric corrosion of carbon steel and low alloy steels. After learning, the neural network could reflect relationships between meteoric factors, metallurgical factors and atmospheric corrosion performance of the steels. As demonstration, the effects of some factors were examined. The neural network was also used for prediction of atmospheric corrosion of several other steel. The accuracy of the prediction was dependent on accuracy and typicality of training samples.

Key words: Atmospheric corrosion Artificial neural networks Corrosion prediction

Received: 25 August 1997

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CAI Jianping KE Wei (Institute of Corrosion and Protection of Metals; Chinese Academy of Sciences). APPLICATION OF NEURAL NETWORKS TO ATMOSPHERIC CORROSION OF CARBON STEEL AND LOW ALLOY STEELS. J Chin Soc Corr Pro, 1997, 17(4): 303-306.

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https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y1997/V17/I4/303

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