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施工建筑中的物流因素对常规建设造价的影响呈现较强的非线性特征,传统的分析方法很难准确反映两者间的对应关系。基于RBF神经网络算法能够针对物流因素对施工建设造价的影响进行有效分析。该方法构建了物流因素对施工建设造价影响分析模型,并针对基于RBF神经网络算法分析物流因素对施工建设造价的影响因素,建立RBF神经网络分析模型,完成两者的直观对应关系构建。实验结果表明,利用该方法建立RBF神经网络模型,能够针对物流因素对施工建设造价的影响进行准确的分析,有利于大型施工建设造价的规划。
The impact of logistics factors in construction construction on the cost of conventional construction shows strong nonlinear characteristics, and the traditional analysis methods are difficult to accurately reflect the corresponding relationship between the two. Based on RBF neural network algorithm can effectively analyze the impact of logistics factors on the construction cost. This method constructs the analysis model of the influence of logistics factors on the construction cost and analyzes the factors that affect the construction cost based on the RBF neural network algorithm and establishes the RBF neural network analysis model to construct the visual correspondence between them. The experimental results show that using this method to establish the RBF neural network model can accurately analyze the impact of logistics factors on the construction cost and is beneficial to the planning of large-scale construction cost.