基于BP神经网络的合成纤维土价格预测模型研究

Research on Price Prediction Model of Synthetic Fiber Soil Based on BP Neural Network

合成纤维土作为工程中的常用材料,其造价预算准确性能够影响企业的成本控制。为研究合成纤维土价格模型的效果,在MATLAB软件平台基于BP神经网络建立不同特性的纤维土价格模型。通过将模型预测值与实际值作对比,以相对误差值判断模型构建是否合理。结果表明,BP神经网络预测相对误差均小于10%,准确性较好,能够预测纤维土价格,可以为工程现场应用提供参考。

As a common material in engineering,synthetic fiber soil needs accurate valuation of the cost budget,which can affect the cost control of enterprises.In order to study the effect of the price model of synthetic fiber soil,such models with different characteristics were established based on BP neural network on the MATLAB software platform.By comparing the predicted value of the models with the actual value,the relative error value is used to judge whether the model is reasonable.The results showed that the relative errors of BP neural network are less than 10%in prediction,with remarkable accuracy,which can predict the price of fiber soil,and provide reference for engineering field application.