深基坑支护变形的模糊神经网络预测  

Deformation Predication of Bracing of Deep Excavation Pit Based on Fuzzy Neural Network

作　　者：吴贤国[1] 蔡心田[1] 李亚楠[1] 

机构地区：[1]华中科技大学土木工程与力学学院,武汉430074

出　　处：《基建优化》2005年第5期83-87,共5页Optimization of Capital Construction

基　　金：国家自然科学基金项目(70171049)

摘　　要：由于土体固有性质的复杂性和不确定性,深基坑支护变形与其影响因素之间的关系是极为复杂的非线性关系。本文将神经网络和模糊系统相结合,采用模糊神经网络对深基坑支护变形进行预测,计算实例表明,该方法具有较高的预测精度。Because the property of soil is complexity and uncertainty; the relationship between deformation of bracing of deep excavation pit and relative factors is very complicated nonlinearity. The result of study showed that the model of fuzzy artifical neural network applied to deformation predication of bracing of deep excavation pit have high precision in forecasting and can be applied in actual projects.

关 键 词：深基坑支护变形 模糊推论 模糊神经网络 灰色关联度 

分 类 号：TU433[建筑科学—岩土工程]