Study on the anti-penetration randomness of metal protective structures based on optimized artificial neural network

Study on the anti-penetration randomness of metal protective structures based on optimized artificial neural network

Abstract In order to study the Anti-Penetration Randomness of Metal Protective Structures (APRMPS) for the penetration probabilities of Metal Protective Structures under the action of the basic random variables, this paper analyzes the candidates for the basic random variables and the random respons...

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Bibliographic Details
Main Authors: Lan Liu, Weidong Chen, Shengzhuo Lu, Yanchun Yu, Mingwu Sun
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Metal protective structure
Anti-penetration randomness
Penetration probability
Dynamic lifecycle genetic algorithm
Back propagation neural network (BPNN)
Surrogate model
Online Access:https://doi.org/10.1038/s41598-025-00174-4
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https://doi.org/10.1038/s41598-025-00174-4

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