Research on intelligent semi-active control algorithms and seismic reliability based on machine learning

Aiming to address the shortcomings of existing semi-active control algorithms with poor robustness and the limited generalization ability of current evaluation methods based on deterministic analysis, a novel approach based on probability density evolution is proposed. This method is designed to ass...

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Vydané v:	Scientific reports Ročník 14; číslo 1; s. 29487 - 27
Hlavní autori:	Xiao, Zhongyuan, Xu, Jianguo, Wang, Li, Huang, Liang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 27.11.2024 Nature Publishing Group Nature Portfolio
Predmet:	639/166/986 639/766/259 Algorithms BP neural network Control algorithms Design optimization Earthquakes Engineering Humanities and Social Sciences Learning algorithms Machine learning Modified Optimization Algorithm for Sand Cat Colonies multidisciplinary Probability density evolution Probability learning Science Science (multidisciplinary) Seismic activity Seismic reliability Semi-active control Water diversion Water supply BP neural network Seismic reliability Modified Optimization Algorithm for Sand Cat Colonies Semi-active control Probability density evolution
ISSN:	2045-2322, 2045-2322
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