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Automatic gap tracking during high power laser welding based on particle filtering method and BP neural network

Crossref DOI link: https://doi.org/10.1007/s00170-018-1636-3

Published Online: 2018-01-26

Published Print: 2018-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Yan-xi

You, De-yong

Gao, Xiang-dong

Na, Suck-Joo
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (51675104)

Science and Technology Planning Project of Guangzhou (201510010089, 201707010197)

Science and Technology Planning Public Project of Guangdong Province (2016A010102015)

Guangdong Provincial Natural Science Foundation of China (2017A030310494)

Guangdong Provincial Natural Science Foundation of China (2016A030310347)

Youth Science Foundation of Guangdong University of Technology (16ZK0010)
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Article History

Received: 28 September 2017

Accepted: 15 January 2018

First Online: 26 January 2018