摘要
路基沉降的理论值与实际监测值通常存在较大偏差,对此,在详细论述四种常用的路基沉降预测方法的基础上,提出一种基于人工神经网络与灰色模型的组合预测方法,并结合工程实例的实测数据,证实了组合方法在路基沉降趋势分析中的有效性和合理性。
Generally for the subgrade settlement, the theoretical value is greater different from actual measured value. Therefore, based on four common forecast methods of subgrade settlement, a combined forecast method based on artificial neural network and gray model is put forward in this paper. Combining the measured data in engineering project, the validity and reasonability of combined method in analysis of subgrade settlement trend are verified.
出处
《路基工程》
2016年第2期1-4,共4页
Subgrade Engineering
基金
国家自然科学基金(51078151)
交通部应用基础研究面上项目(2011319495090)
关键词
路基沉降
发展趋势
BP神经网络
灰色模型
组合预测
subgrade settlement
development trend
BP neural network
gray model
combined forecast
