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Using a Backpropagation Artificial Neural Network to Predict and Genetic Algorithm to Optimize the Mix Proportion Design of Magnesium Phosphate Cement: A Multi-Objective Optimization Method

Crossref DOI link: https://doi.org/10.1007/s11223-025-00777-2

Published Online: 2025-07-29

Published Print: 2025-03

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

Authors

Kang, Q.

Ye, Y. X.

Ma, S. M.

Jing, C.

Wang, Z. B.

Huang, H.
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Text and Data Mining valid from 2025-03-01

Version of Record valid from 2025-03-01
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Article History

Received: 10 January 2025

First Online: 29 July 2025

Change Date: 24 September 2025

Change Type: Update

Change Details: The original version of this paper was updated to revised the order of the first and corresponding authors and current affiliations of several co-authors.

Change Date: 11 August 2025

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1007/s11223-025-00800-6

Updates are available Correction dated 2025-08-11

Click to view Correction: https://doi.org/10.1007/s11223-025-00800-6