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本文通过分析高速公路工程成本构成,构建了影响工程建造成本的主要指标体系,根据十一五期间西部五省市部分高速公路的工程造价统计数据,建立一种基于神经网络造价成本预测模型。分析结果表明,影响工程造价的因素中设计因素最为关键,其次是施工工期及贷款利率因素。通过对样本的训练和验证,表明建立的神经网络预测模型具有真实性及可靠性。
By analyzing the construction cost of expressway, this paper constructs the main index system that affects the construction cost. Based on the statistical data of construction cost of some expressways in five provinces and cities in the west of China during the 11th five-year plan, this paper establishes a cost forecast model based on neural network. The analysis results show that the most important factor is the factor that affects the project cost, followed by the construction period and loan interest rate. Through the training and verification of the samples, it shows that the neural network prediction model established is authentic and reliable.