Abstract
The evaluation of construction safety risks has become a crucial task with the increasing development of bridge construction. This paper aims to provide an overview of the application of backpropagation neural networks in assessing safety risks during bridge construction. It introduces the situation, principles, methods, and advantages, as well as the current status and future development directions of backpropagation-related research.
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