神经网络在路面使用性能评估中的应用

Applications of the Artificial Neural Networks in Evaluation of Pavement Condition

应用神经网络BP算法原理 ,建立评估路面状况指数PCI的模型。通过平整度和路面破损率数据的学习 ,预测了路面破埙指标PCI ,并把神经网络模型和回归模型进行了比较 。

In this paper,neural network model of pavement condition index(PCI) evaluation was established based on the theory of BP network.IRI and DR was used(damage rate)as training data,and the model shows very accurate results.Furthermore,compaing the accuracy of neural network model and regression model was brought out after being compared.The result shows neural network model has been widely used in evaluation of pavement performance.