A Study of Risk Relevance Reasoning Based on a Context Ontology of Railway Accidents-Reference-Cited by-同舟云学术

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A Study of Risk Relevance Reasoning Based on a Context Ontology of Railway Accidents

Published:2020-05-25 Issue:8 Volume:40 Page:1589-1611
ISSN:0272-4332
Container-title:Risk Analysis
language:en
Short-container-title:Risk Analysis

Author:

Cao Tiancheng¹,Mu Wenxin¹,Gou Juanqiong¹,Peng Liyu²

Affiliation:

1. School of Economics and ManagementBeijing Jiaotong University Beijing China

2. ShuoHuang Railway Development Co. Ltd. Cangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Physiology (medical),Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/risa.13506

Reference51 articles.

1. A model to quantify the resilience of mass railway transportation systems

2. Aggregation of group fuzzy risk information in the railway risk decision making process

3. Relational inductive biases, deep learning, and graph networks;Battaglia P. W.;Machine Learning,2018

4. Collaborative Systems in Crisis Management: A Proposal for a Conceptual Framework

5. Fast curve fitting using neural networks

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