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Pipeline damage identification based on an optimized back-propagation neural network improved by whale optimization algorithm

Published Online: 2022-10-04

Published Print: 2023-05

Authors

Wu, Lei

Mei, Jiangtao

Zhao, Shuo
Funding

Funding for this research was provided by:

Taishan Scholar Foundation of Shandong Province (tsqn201909067)

Natural Science Foundation of Shandong Province (ZR2020QE300)

Fundamental Research Funds for the Central Universities (20CX06012A)

Ministry of Industry and Information Technology of the People's Republic of China (CJ09N20)
License Information

Text and Data Mining valid from 2022-10-04

Version of Record valid from 2022-10-04
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Article History

Accepted: 17 September 2022

First Online: 4 October 2022

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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