摘要
在利用相关分析法对主材价格影响因素进行筛选的基础上,建立了基于改进BP神经网络算法的公路工程主材价格预测模型。结合郑州市石屑价格预测的实例,分别采用3种BP改进算法进行预测,并对结果进行了对比分析。证明了使用改进BP神经网络进行公路工程主材价格预测是可行和有效的。
On the basis of screening out the influencing factors of highway engineering main materials with correlation analysis, a price forecasting model was presented based on improved BP algorithm of highway engineering main materials. Combining with the case of forecasting the price of stone chips in Zhengzhou, three improved algorithms were used and the forecasting results were compared and analyzed. The results prove that forecasting by applying BP neural network is feasible and effective.
出处
《交通与计算机》
2007年第3期128-130,133,共4页
Computer and Communications
关键词
BP神经网络
公路工程主材价格
自适应学习速率
附加动量法
BP neural network
price of highway engineering main material
self-adaptive study speed algorithm
additional momentum algorithm
