Work

Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach

Year: 2020

Type: article

Source: Engineering Structures

DOI: 10.1016/j.engstruct.2020.110927

Authors: Sujith Mangalathu, Seong-Hoon Hwang, Jong-Su Jeon

Institutions: Equifax (United States), Hanyang University

Language: English

Topic: Structural Behavior of Reinforced Concrete

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Research Foundation of Korea, Ministry of Science and ICT, South Korea

Awards: G1024677702, G5808268909

OpenAlex ID: W3035353528

FWCI: 46.88

Cites: 26

Cited by: 1,128

Related to: 10