Deep learning-based automatic recognition of water leakage area in shield tunnel lining-Reference-Cited by-同舟云学术

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Deep learning-based automatic recognition of water leakage area in shield tunnel lining

Published:2020-10 Issue: Volume:104 Page:103524
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Xue Yadong,Cai Xinyuan,Shadabfar Mahdi,Shao Hua,Zhang Sen

Funder

Science and Technology Commission of Shanghai Municipality

Key innovation team program of innovation talents promotion plan by MOST of China

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference50 articles.

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4. SGD-QN: careful quasi-newton stochastic gradient descent;Bordes;J. Mach. Learn. Res.,2009

5. Collobert, R., Weston, J., 2008. A unified architecture for natural language processing: deep neural networks with multitask learning. In: Proceedings of the 25th international conference on Machine learning, pp. 160–167. https://doi.org/10.1145/1390156.1390177.

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