JKSMI
Journal of the Korea Institute for
Structural Maintenance and Inspection
KSMI
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ISSN : 2234-6937 (Print)
ISSN : 2287-6979 (Online)
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Journal of the Korea Concrete Institute
J Korea Inst. Struct. Maint. Insp.
Indexed by
Korea Citation Index (KCI)
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2020-12
(Vol.24 No.6)
10.11112/jksmi.2020.24.6.206
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References
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Kim, D. G. (2018), Performance evaluation of SOC Structure using Deep Learning technology, Seoul: Korea Institute of Construction Technology, 164-172.
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Gary, Marcus. (Jan. 2. 2018), Deep Learning: A Critical Appraisal, arXIv:1801.00631 [cs]
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Park, S. J. (2019), Reinforce Effect of Lower Bracing on Dynamic Behavior Characteristic in Railway Plate Girder Bridges, Master Thesis, Inha University, 17-18.
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Ng, Andrew. (Mar. 2013), Machine Learning and AI via Brain simulation, Standford University, Retrieved from http://ai.stanford.edu/~ang/slides/DeepLearning-Mar2013
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Micro-Measurements, V. (2007), Strain gage selection: criteria, procedures, recommendations, Tech Note TN-505-6, 4-6.
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Lee, G. H. (2018), Damage Detection for RC Rahmen Bridge Based on Convolutional Neural Network, Master Thesis, Inha University, 55-56.
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Kim, Y. H. (2017), Development and Application of Reliability- based Structural Health Monitoring Algorithm for Existing Bridges, Doctor Thesis, Inha University, 58-59.