A platform for research: civil engineering, architecture and urbanism
Application of BP neural network in human factors analysis in dam break
To further study the reliability of human factors in dam break accidents, by establishing an index system of human factors influencing factors, human errors are divided into four categories and twelve sub-categories of "people, technology, organization, and environment". Combined with BP Neural network technology, we input more than 60 historical dam failure data to get the weight of human error under different dam failure reasons.
Application of BP neural network in human factors analysis in dam break
To further study the reliability of human factors in dam break accidents, by establishing an index system of human factors influencing factors, human errors are divided into four categories and twelve sub-categories of "people, technology, organization, and environment". Combined with BP Neural network technology, we input more than 60 historical dam failure data to get the weight of human error under different dam failure reasons.
Application of BP neural network in human factors analysis in dam break
Wang, Huiwen (author) / Li, Dandan (author)
International Conference on Advanced Algorithms and Neural Networks (AANN 2022) ; 2022 ; Zhuhai,China
Proc. SPIE ; 12285
2022-06-15
Conference paper
Electronic Resource
English
Analysis of Human Factors in Dam-Break Accidents
British Library Conference Proceedings | 2012
|Factors Analysis about the Dam-Break of the Uranium Tailings
Trans Tech Publications | 2014
|Prediction of Back Break Using Sensitivity Analysis and Artificial Neural Networks
Springer Verlag | 2024
|Analysis of Influencing Index System of Human Error in Dam-Break Risk
British Library Conference Proceedings | 2013
|British Library Online Contents | 2015
|