3 Papers
Ping Chen is an academic researcher from China University of Mining and Technology. The author has contributed to research in topics: Stability (learning theory) & Causal model. The author has an hindex of 2, co-authored 2 publications.
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Papers
The development history of accident causation models in the past 100 years: 24Model, a more modern accident causation model
TL;DR: In this paper, a new method for classifying accident causation models is proposed, and the method divides the accident causal models into linear and non-linear models, and further divides the latter models into human-based, statistics-based and energy-based models.
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Risk prediction and factors risk analysis based on IFOA-GRNN and apriori algorithms: Application of artificial intelligence in accident prevention
TL;DR: The application results show that the IFOA-GRNN algorithm proposed has an accuracy rate of 100% for the prediction of accident risk levels and has the characteristics of a smaller prediction error, higher stability and faster convergence.
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Accident causation models: A comparison of SCM and 24Model
TL;DR: The Swiss Cheese Model (SCM) and 24Model have proven over the years to be lasting influences for many researchers and practitioners in various safety areas as mentioned in this paper , however, a gap still exists for whether these two models are consistent in current studies.