| 岩质边坡开挖坡角的神经网络选取方法分析 |
| |
| 引用本文： | 文自立.岩质边坡开挖坡角的神经网络选取方法分析[J].大众科技,2016(3). |
| |
| 作者姓名： | 文自立 |
| |
| 作者单位： | 中国水利水电第八工程局有限公司,湖南长沙,410000 |
| |
| 摘 要： | 建立岩质边坡的稳定开挖坡角的神经网络非线性计算模型,分析边坡开挖稳定坡角选取的影响因素,并根据神经网络预测模型参数类型,确定参数的等级划分标准和相应的参数数据输入模式。搜集有关稳定边坡开挖坡角的训练样本,通过网络训练得到标准化的网络训练评价数据库,最后将需要预测评估的边坡评价参数输入计算模型中,获得稳定边坡的开挖坡角,通过数值计算、工程经验证明稳定边坡开挖坡角的选取是合理的。
|
| 关 键 词： | 境界边坡 BP神经网络 边坡角 预测 训练样本 |
Neural network forecasting method analysis on stability of final boundary slope angle |
| |
| Abstract: | Based on improved BP neural network, the excavation slope angle of stability final boundary slope was obtained. Firstly, The factors on excavation angle of final boundary stable slope was analized to determine input parameters BP neural network predictive model, and classification of parameters criteria and the corresponding parameter data input mode was obtained according to the parameter type, while the number of the network layers and nodes were confirmed. Finally, 34 slope stability training samples were collected. the network appraisal database normalized and corresponding training curve were given by network training. The assessment about excavation slope angle was predicted by the slope evaluation parameters input to the calculation model. It is shown that forecasting slope stability angle is reasonable, to numerical calculation and systems engineering experience. |
| |
| Keywords: | Final boundary slope BP neural network slope angle prediction training sample |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
