• Journal of Inorganic Materials
  • Vol. 36, Issue 1, 61 (2021)
Yanran MENG1、2、3, Xinger WANG1、2、3、4, Jian YANG1、2、3、*, Han XU1、2、3, and Feng YUE1、2
Author Affiliations
  • 1School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 3Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 4Key Laboratory of Impact and Safety Engineering, Ministry of Education, Ningbo University, Ningbo 315211, China
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    DOI: 10.15541/jim20200187 Cite this Article
    Yanran MENG, Xinger WANG, Jian YANG, Han XU, Feng YUE. Research on Machine Learning Based Model for Predicting the Impact Status of Laminated Glass[J]. Journal of Inorganic Materials, 2021, 36(1): 61 Copy Citation Text show less
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    Yanran MENG, Xinger WANG, Jian YANG, Han XU, Feng YUE. Research on Machine Learning Based Model for Predicting the Impact Status of Laminated Glass[J]. Journal of Inorganic Materials, 2021, 36(1): 61
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