基于灰色神经网络模型的基坑变形预测研究  

Research on Predicting Deformation of Foundation Pit Based on Grey Neural Network Model

作　　者：吴飞宇[1] 

机构地区：[1]蚌埠市勘测设计研究院,安徽蚌埠233000

出　　处：《城市勘测》2013年第2期154-157,共4页Urban Geotechnical Investigation & Surveying

摘　　要：结合灰色GM(1,1)模型和BP神经网络模型各自的优缺点,建立了灰色神经网络组合模型,并采用该模型对实际的监测数据进行处理和分析。结果表明,灰色神经网络充分发挥了灰色模型和神经网络模型的优势,取得了较好的预测精度,能够满足实际应用的需要。This paper combin the advantages and disadvantages of grey model and neural network, and builds grey neural network. The observation data is processed and analyzed by this model. The result shows that grey neural model can full play grey model anti neural model of their advantages, and obtains highly precise forecast accuracy, which can meet the demand of application.

关 键 词：灰色模型 灰色神经网络 预测 

分 类 号：TU433[建筑科学—岩土工程] P258[建筑科学—土工工程]