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Microstructure quantification of Cu–4.7Sn alloys prepared by two‐phase zone continuous casting and a BP artificial neural network model for microstructure prediction

Crossref DOI link: https://doi.org/10.1007/s12598-018-1023-0

Published Online: 2018-04-13

Published Print: 2019-12

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

Authors

Luo, Ji‐Hui

Liu, Xue‐Feng https://orcid.org/0000-0003-2493-3975
Shi, Zhang‐Zhi

Liu, Yi‐Fei
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (51374025)

National Natural Science Foundation of China (51674027)

National Natural Science Foundation of China (U1703131)

Natural Science Foundation of Beijing Municipality (2152020)

the National Key Research and Development Plan of China. (2016YFB0301301)

the National Natural Science Foundation of China. (51374025)

the Beijing Natural Science Foundation, China. (2152020)
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Text and Data Mining valid from 2018-04-13

Text and Data Mining valid from 2018-04-13
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Article History

Received: 8 December 2016

Revised: 12 January 2017

Accepted: 9 March 2018

First Online: 13 April 2018

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