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边坡冲刷量的神经网络计算模型
引用本文:李凯,王昌贤,杨兴武.边坡冲刷量的神经网络计算模型[J].交通科技与经济,2009,11(6):77-79.
作者姓名:李凯  王昌贤  杨兴武
作者单位:[1]重庆交通大学河海学院,重庆400074 [2]中铁十八局,天津300222
摘    要:在分析坡面冲刷过程与神经网络模型特点具有某些相似的基础上,选取降雨强度、径流量、坡度、土的粘性为输入量,以MATLAB为工具,通过试算法确定最佳的隐层节点数,建立网络模型。并通过验证试验,显示此模型具有较好的模拟预测效果。

关 键 词:公路边坡  冲刷量  神经网络BP模型

Calculation of Slope Erosion Based on the Model of Artificial Neural Network(ANN)
LI Kai,WANG Chang-xian,YANG Xing-wu.Calculation of Slope Erosion Based on the Model of Artificial Neural Network(ANN)[J].Technology & Economy in Areas of Communications,2009,11(6):77-79.
Authors:LI Kai  WANG Chang-xian  YANG Xing-wu
Institution:1. Chongqing Jiaotong University, School of River and Ocean Engineering, Chongqing 400074, China; 2. China Railway 18th Bureau, Tianjin 300222, China)
Abstract:Based on the simliarity between the highway slope erosion and ANN, select the intensity of rain-fall, runoff, slope, soil for the viscous input to MATLAB as a tool to determine the optimal test algorithms hidden nodes, the establishment of the network model. And through verification tests show that this model has a better simulation of the effect of the forecast.
Keywords:highway slope  erosion  ANN BP mode
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