Abstract: 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

Key words: artificial neural networks , asphalt pavement material , resilient modulus

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，为预测路面材料的回弹模量等力学指标提供 了一种新的方法。

关键词: 人工神经网络, 沥青路面材料, 回弹模量