基于BP网络的道路水泥再生混凝土性能的评价  

Evaluation of Road Recycled Concrete Performance Based on BP Neural Network

作　　者：刘怀智[1] 姚运仕[1] 赵悟[1] 冯忠绪[1] 

机构地区：[1]长安大学道路施工技术与装备教育部重点实验室,陕西西安710064

出　　处：《筑路机械与施工机械化》2007年第9期23-24,28,共3页Road Machinery & Construction Mechanization

基　　金：陕西省自然科学研究计划基金项目(2001C04)

摘　　要：为了评价道路水泥再生混凝土的性能,在分析BP神经网络原理的基础上提出了用BP神经网络模拟道路水泥再生混凝土性能与各影响因素间关系的方法。根据道路水泥再生混凝土的实际工况,建立了3个输入节点、4个输出节点的BP神经网络模型,通过9组试验,验证了模型的可靠性。结果表明,实测结果与预测结果相接近,BP神经网络模型可以较准确的评价道路水泥再生混凝土的性能。In order to evaluate performance of road recycled concrete,the paper gives out the method of using BP neural network to express the relation of performance of road recycled concrete and its influencing factors after analysis of BP neural network.Based on the road cement concrete recycling,evaluation model of BP network with 3 input vectors and 4 output vectors is set up,and the model is proved by experimental results.The results show that the experimental results are closed to those of evaluation and the BP neural network is the more accurate and rapid method to evaluate the performance of road recycled concrete.

关 键 词：BP神经网络 道路水泥再生 再生混凝土 评价 

分 类 号：U416.216[交通运输工程—道路与铁道工程]