节点文献
基于ANFIS模型的边坡变形预测方法
Forecasting Method of the Slope Displacement Based on the ANFIS Model
【摘要】 自适应神经模糊推理系统ANFIS(Adaptive Neuro-Fuzzy Inference System)是进行预测决策的有效方法,文章基于ANFIS模型预测了重庆市狮子滩水力发电总厂狮龙花园B区临岩边坡监测点的沉降,根据已有的观测数据,进行计算预测。预测结果表明,预测值与实际沉降值之间的误差很小,说明此模型可很好地应用于边坡变形沉降的预测。
【Abstract】 The forecasting model of ANFIS(Adaptive Neuro-Fuzzy Inference System) is applied to forecast the displacement values at observation point of the slope at the Shilong garden of Chongqing Shizitan Hydroelectric Power Plant.The forecast results show that the errors between the forecast values and the observation values are very little.It shows that this model may be well applied for the forecast of the displacement in the deformation of the slopes.
【关键词】 ANFIS;
边坡变形;
预测;
边坡监测;
【Key words】 Adaptive Neuro-Fuzzy Inference System; deformation of the slope; forecasting model; slope observation;
【Key words】 Adaptive Neuro-Fuzzy Inference System; deformation of the slope; forecasting model; slope observation;
【基金】 重庆市教委科学技术研究项目(2002cj20)
- 【文献出处】 重庆建筑大学学报 ,Journal of Chongqing Architecture University , 编辑部邮箱 ,2005年04期
- 【分类号】TV223.3
- 【被引频次】15
- 【下载频次】210