Quality State Evaluation of Steel Structure Installation Engineering Based on ANN Algorithm
With the increasing scale of petroleum construction projects,the requirements for steel structure installation projects are higher and higher,and the quality detection and evaluation of steel structure installation projects are more complicated,and these characteristics make the evaluation methods of steel structure installation quality status at the construction site vary and the results are not easy to control.In order to evaluate the quality of steel structure installation project more accurately and applicable,the quality evaluation method of steel structure installation project is studied on the basis of artificial neural network(ANN)algorithm,and BP neural network and RBF neural network algorithms are used to conduct comparative experiments,sort out the quality evaluation indexes,compute the weight coefficients and carry out error analysis,and ANN algorithm is selected to derive the scoring formula of the quality status of steel structure installation project from the experimental results,to reflect the quality of the steel structure installation project,which has a certain guiding effect on the quality control and management of the steel structure installation project,providing scientific and accurate support for engineering quality management and control.
万方数据
维普
