ARTIFICIAL NEURAL NETWORK TECHNOLOGY FORTHE DATA PROCESSING OF HYDROGEN ATTACK

J Chin Soc Corr Pro

2001, Vol. 21

Issue (6): 368-373 DOI:

Research Report

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ARTIFICIAL NEURAL NETWORK TECHNOLOGY FORTHE DATA PROCESSING OF HYDROGEN ATTACK

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北京科技大学表面科学与腐蚀工程系

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Abstract Artificial neural networks are forms of artificial intelligence that learn correlative patterns between input and output informatio n without a specific model. Then they use the learned relationships to make pred ictions. Five back-propagation artificial neural networks were constructed to re cognize certain relationships in hydrogen attack to predict the time to incubate fissuring of 0.5Mo and carbon steel. Given the two parameters, environmental te mperature and hydrogen pressure, these neural network models can offer a predict ion with certain accuracy. The feasibility of the model was verified by the data from papers. It is proved that the ANN technology is applicable to the evaluati on of the complicated system of hydrogen attack, and also gives a base to develo p the expert system and residual life evaluation system for hydrogen attack.

Key words: artificial neural network hydrogen attack corrosion

Received: 22 June 2000

ZTFLH:	TG172.83
	TP183

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. ARTIFICIAL NEURAL NETWORK TECHNOLOGY FORTHE DATA PROCESSING OF HYDROGEN ATTACK. J Chin Soc Corr Pro, 2001, 21(6): 368-373 .

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https://www.jcscp.org/EN/ OR https://www.jcscp.org/EN/Y2001/V21/I6/368

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