Citation

Zhang X, Chang Y. China Saf. Sci. J. 2022; 32(2): 99-106.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.02.014

PMID

unavailable

Abstract

In order to improve prediction accuracy and efficiency of external corrosion rate of submarine oil and gas pipelines, a ELM prediction model based on FA and BAS was established. FA method was used to reduce dimension of influencing factors' data set and determine input variables of ELM network. Then,an ELM prediction model was established, and its parameters were optimized by BAS to avoid influence of randomness of parameter values on its predictive performance. Finally, with the real sea hanging film experiment as an example, predictive performance of the model was evaluated through modeling and simulation, and it was compared with other models. The results show that the mean absolute percentage error (MAPE) of FA-BAS-ELM prediction model is only 1. 92, and its determination coefficient R2 reaches as high as 0. 994 9, indicating that the model has better prediction accuracy and performance. © 2022, Editorial Department of China Safety Science Journal. All rights reserved.

Language: zh