Application of Artifcal Nural Network in Prediction Corrosion Value of Metal in Atmosphere

MA Xiaoyan; LUAN Yanbing; QU Zuyu; LI Zhangrong

doi:10.13374/j.issn1001-053x.2001.02.007

Volume 23 Issue 2

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2001 > 23(2): 123-126

MA Xiaoyan, LUAN Yanbing, QU Zuyu, LI Zhangrong. Application of Artifcal Nural Network in Prediction Corrosion Value of Metal in Atmosphere[J]. Chinese Journal of Engineering, 2001, 23(2): 123-126. doi: 10.13374/j.issn1001-053x.2001.02.007

Citation:

MA Xiaoyan, LUAN Yanbing, QU Zuyu, LI Zhangrong. Application of Artifcal Nural Network in Prediction Corrosion Value of Metal in Atmosphere[J]. Chinese Journal of Engineering, 2001, 23(2): 123-126. doi: 10.13374/j.issn1001-053x.2001.02.007

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Application of Artifcal Nural Network in Prediction Corrosion Value of Metal in Atmosphere

doi: 10.13374/j.issn1001-053x.2001.02.007

Material Science and Engineering School, UST Beijing, Beijing, 100083, China

Received Date: 2000-10-19

Abstract

Abstract

The prediction models of carbon steel and low alloy steel in atmosphere between corrosion rate exposure time were achieved,according to environment data and material corrosion data collected by atmospheric corrosion sites of China and using artificial neural network method.Relationship between corrosion rate and exposure times for carbon steel and low alloy steel in atmosphere was stuelied chieved, a based on environment data and material corrosion data and using studied artifial neural network methed. And the prediction models for predicting corrosion value of metal in atmosphere were achieved.
- corrosion in atmosphere,
- artificial neural network,
- prediction