基于BP网络的道路水泥再生混凝土性能的评价

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。

Evaluation of Road Recycled Concrete Performance Based on BP Neural Network

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.