Attention mechanism model.

<div><p>As a crucial component in rotating machinery, bearings are prone to varying degrees of damage in practical application scenarios. Therefore, studying the fault diagnosis of bearings is of great significance. This article proposes the Kepler algorithm to optimize the weights of ne...

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第一著者:	Yu Jie Guang (22184340) (author)
その他の著者:	Xiao Shun Gen (22184343) (author), Song Meng Meng (22184346) (author), Yu Wen Hui (22184349) (author), Fang Yan (134746) (author), Ying He Jie (22184352) (author)
出版事項:	2025
主題:	Molecular Biology Biotechnology Cancer Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified practical application scenarios party bearing data ignore useless information fault diagnosis model fault diagnosis useful information xlink "> varying degrees using third rotating machinery neural networks kepler algorithm great significance diagnostic accuracy crucial component attention mechanisms attention mechanism article proposes algorithm proposed
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Attention mechanism model.

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