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Journal of Earthquake Engineering Volume 24, 2020 - Issue 8
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Original Articles

An Advanced Statistical Approach to Data-Driven Earthquake Engineering

Ikkyun Songa Department of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA, USAView further author information
,
In Ho Choa Department of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA, USACorrespondence[email protected]
View further author information
&
Raymond K. W. Wongb Department of Statistics, Iowa State University, Ames, IA, USAView further author information
Pages 1245-1269 | Received 22 Dec 2016, Accepted 03 Apr 2018, Published online: 18 Apr 2018

Citations (9)

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Read on this site (1)

Tong Tong, Mohammed Bazroun, In Ho Cho & Keith A. Porter. (2022) Multiscale Investigations of RC Shear Wall Buildings. Journal of Earthquake Engineering 26:10, pages 5032-5057.
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Articles from other publishers (8)

Yongsung Koh, Halil Ceylan, Sunghwan Kim & In Ho Cho. (2022) Critical Responses of Flexible Pavements Under Superheavy Loads and Data-Driven Surrogate Model. International Journal of Pavement Research and Technology 16:3, pages 513-543.
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Zeynep DEĞER, Gülşen TAŞKIN KAYA & Fatih SÜTCÜ. (2023) Betonarme perdelerde enerji sönümleme kapasitesinin meta-modelleme yöntemleriyle incelenmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 38:4, pages 2311-2324.
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Siamak Tahaei Yaghoubi, Zeynep Tuna Deger, Gulsen Taskin & Fatih Sutcu. (2022) Machine learning-based predictive models for equivalent damping ratio of RC shear walls. Bulletin of Earthquake Engineering 21:1, pages 293-318.
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You Zhou & Shuhua Zhang. (2022) Prediction of rupture and perforation limits of pressurised X80 pipelines using BP neural networks and generalised additive models. Ocean Engineering 259, pages 111839.
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Mohammed Bazroun, Yicheng Yang & In Ho Cho. (2022) Flexible and interpretable generalization of self-evolving computational materials framework. Computers & Structures 260, pages 106706.
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Ikkyun Song, Yicheng Yang, Jongho Im, Tong Tong, Halil Ceylan & In Ho Cho. (2020) Impacts of Fractional Hot-Deck Imputation on Learning and Prediction of Engineering Data. IEEE Transactions on Knowledge and Data Engineering 32:12, pages 2363-2373.
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In Ho Cho. (2019) A framework for self‐evolving computational material models inspired by deep learning. International Journal for Numerical Methods in Engineering 120:10, pages 1202-1226.
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Francisco J. Montáns, Francisco Chinesta, Rafael Gómez-Bombarelli & J. Nathan Kutz. (2019) Data-driven modeling and learning in science and engineering. Comptes Rendus Mécanique 347:11, pages 845-855.
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