With economic and social developing, more and more high-rise buildings arise. At the same time, safety accidents caused by high-rise building construction also brought about more attention. This article combined principal component analysis and back-propagation neural network to build an evaluation Model for safety management of High-rise building construction, and give each indicator a dynamic weight to measure importance of each management measure. Studies show that this method has a certain objectivity and effectiveness, and is helpful for promoting high-rise construction safety management goals.
High-Rise Building ConstructionSafety EvaluationPrincipal Component AnalysisBack-Propagation Neural Network
NETL
NSTL
万方数据
