摘要
将人工神经网络应用于沥青路面材料的回弹模量的预测 ,提出了一种有效的预测方法 ,并构造了预测回弹模量的神经网络模型 .预测结果表明 ,该模型具有较高的预测精度 。
Artificial neural networks are used on resilient modulus of asphalt pavement material prediction in this paper.An effective method of prediction is put forward,and the neural networks model for resilient modulus prediction is found.The predicting results indicate that the model proposed can gain high precision,which provide a new way for predicting resilient modulus and other mechanical behavior index of asphalt pavement material.
出处
《重庆交通学院学报》
2002年第3期26-29,共4页
Journal of Chongqing Jiaotong University
关键词
人工神经网络
预测
沥青路面材料
回弹模量
artificial neural networks
asphalt pavement material
resilient modulus