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Safety risk assessment of green building construction based on BP neural network optimized by genetic algorithm
This study examines the assessment of construction safety risks in green building risk management. By comprehensively considering all factors that affect the safety of green building construction, an evaluation index system is established. The AHP method is used to weigh each index, expert scoring determines the risk level of each project index, and the weighted summation results in the expected output value. In addition, the genetic algorithm (GA) is introduced to optimize the BP neural network, and an evaluation model based on AHP and GA-BP neural network is established that can be used to predict and evaluate construction safety risks. The results show that this method can effectively predict the safety risk of green building construction and provide valuable guidance for the safety management of green building construction.
Safety risk assessment of green building construction based on BP neural network optimized by genetic algorithm
This study examines the assessment of construction safety risks in green building risk management. By comprehensively considering all factors that affect the safety of green building construction, an evaluation index system is established. The AHP method is used to weigh each index, expert scoring determines the risk level of each project index, and the weighted summation results in the expected output value. In addition, the genetic algorithm (GA) is introduced to optimize the BP neural network, and an evaluation model based on AHP and GA-BP neural network is established that can be used to predict and evaluate construction safety risks. The results show that this method can effectively predict the safety risk of green building construction and provide valuable guidance for the safety management of green building construction.
Safety risk assessment of green building construction based on BP neural network optimized by genetic algorithm
Loskot, Pavel (editor) / Ding, Xiaofeng (editor) / Zhang, Xiaofei (author) / Wang, Yueming (author)
Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023) ; 2023 ; Qingdao, SD, China
Proc. SPIE ; 12791
2023-10-09
Conference paper
Electronic Resource
English
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