Prediction of Nuclear Explosion Vibration and MRD Semi-Active Control Based on Deep Learning
This research centers on the application of deep learning in predicting nuclear explosion vibration loads and the semi-active control of magnetorheological dampers (MRDs). It delves deeply into the performance of the Convolutional Neural Network (CNN) and the long short-term memory (LSTM) network. T...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Wiley
2026-01-01
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| Col·lecció: | Advances in Civil Engineering |
| Accés en línia: | http://dx.doi.org/10.1155/adce/4078379 |
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