基于CBR的高速公路路基安全风险预测

路基安全是高速公路建设管理的重要内容，然而，传统的风险预测方法难以满足预测精度的需要。本文运用模糊数学的有关理论，介绍了一个基于案例推理（CBR）的高速公路路基安全风险预测模型，并结合实际进行了应用检验。实例表明，该方法具有对案例库的更新功能，能够为高速公路路基安全风险预测提供有价值的参考依据。

Risk Prediction of Highway Roadbed Security Based on CBR

The roadbed security is an important part of highway construction management, howev- er, traditional risk prediction methods are difficult to meet the needs of the prediction accuracy. In this paper, by using the theory of fuzzy mathematics, introduces a Case-based reasoning （ CBR ） of highway roadbed security risk prediction model, combined with the practical application test. The examples show that the method has a function of updating the case database, and provides valuable reference in the high- way roadbed security risk prediction.