Research on construction engineering safety early warning based on BP neural network
by Linyu Liu; Xuejie Wang; Congru Zhang; Xikun Li
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 22, No. 3/4, 2022

Abstract: In the process of China's reform and opening up, the development of the construction industry has greatly promoted the development of China's economy, and the construction industry is also one of China's pillar industries. Owing to the particularity of the construction industry, construction engineering safety accidents occur frequently and there are many influencing factors of safety accidents. In order to break through this limitation, this research introduces an adaptive learning algorithm with additional momentum to optimise and improve the model. Through the simulation analysis of 10 groups of sample data of MATLAB, it can be seen that the proposed construction engineering safety early warning model has good convergence and accuracy, and can be applied to specific engineering practice.

Online publication date: Tue, 09-Aug-2022

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