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About Applications of Machine Learning Methods For Engineering Risk Assessment - A Review
This document provides a review of literature on applications of machine learning methods for engineering risk assessment. It describes a structured review process where keywords were used to search databases like Scopus and Engineering Village. 124 relevant research articles were identified based on selection criteria. The review found that artificial neural networks are most commonly applied, and that the automotive industry leads adoption of machine learning for risk assessment. Additional findings on data sources, implementation methods, and risk assessment phases are also presented.
Detailed Information
| Author: | ['Madhan Gopal'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 41 |
| Language: | English |
| Format: | |
| Price: | FREE |
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