Study On Calculation Model Of Safety Construction Rate Based On ABC-BP Neural Network

The GDP created by the construction industry accounts for a large proportion of China's national economic development,and has gradually developed into one of the pillar industries of China's national economy.With the continuous improvement of China's social and economic level,the development of the construction industry has become increasingly mature.The construction industry has many characteristics such as many construction site personnel,many equipments,large project scales and long construction period.The complicated construction environment has caused the construction industry to be very prone to engineering safety accidents during the construction process.The construction industry has also become a typical high accident.Represents the industry.From the statistical data,in recent years,the number of large security accidents and the number of deaths in China's construction industry are on the rise,and the security situation is not optimistic.As an economic means to ensure safe construction,safe construction fees are an important guarantee for the normal investment and use of various safety measures,and their importance is self-evident.The reasonableness of the safe construction fee rate has a direct and significant impact on the safe construction fee,which greatly affects the safe production of the construction site.In view of this,this paper proposes the application of "Artificial Bee Colony Algorithm(ABC algorithm)to improve BP neural network algorithm"(ABC-BP algorithm)to calculate the construction cost rate of housing construction,,and provide a calculation method for the reasonable calculation of the pre-safe construction fee of the building construction project.This paper firstly analyzes the impact of safe construction fee rate on safety construction and construction projects from the safe construction fee,and analyzes the importance of safe construction fee rate for safe construction fee.Therefore,the quantitative calculation of safety construction fee rate is proposed.Secondly,a simple comparison of several common swarm intelligence algorithms is carried out to determine the safe construction fee rate based on the artificial bee colony algorithm improved BP neural network,and establish an unimproved BP neural network model and ABC-BP.The algorithm model,and the collected data is used to train and verify the model.Finally,the results of the two models are analyzed and compared,and the conclusion is drawn.The results show that compared with the unmodified BP neural network model,the application of ABC-BP algorithm for the calculation of safe construction fee rate has good operability,and the predicted rate has certain correctness,which can be used in the early stage of construction project.The safe construction fee rate provides specific values to ensure a reasonable and sufficient investment in safe construction costs.