Improvement in the information-oriented construction of temporary soil-retaining walls using sparse modeling
This fundamental study investigates how “super-resolution” technology based on sparse modeling, which has attracted attention in various fields, can be applied to the information-oriented construction of temporary soil-retaining walls. The machine learning process adopted here is based on the analyt...
Main Authors: | Yu Otake, Shinnosuke Kodama, Shinya Watanabe |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2019-09-01
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Series: | Underground Space |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2467967418300096 |
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