| 贺可强,雷建和.边坡稳定性的神经网络预测研究[J].地质与勘探,2001,(6):72-75 |
| 边坡稳定性的神经网络预测研究 |
| A PREDICATION OF THE SLOPE STABILITY BASED ON NEURAL NETWORK |
| 修订日期：2001-04-02 |
| DOI： |
| 中文关键词: 边坡稳定性 神经网络 预测 滑坡 可视化 |
| 英文关键词: slope stability based,neural network,predication |
| 基金项目: |
| 贺可强 雷建和 |
| [1]青岛建筑工程学院，青岛266033 [2]中科院地质与地球物理研究所，北京100029 |
| 摘要点击次数: 1900 |
| 全文下载次数: 1599 |
| 中文摘要: |
| 根据神经网络法的基本原理，结合38个实际边坡工程稳定实例，应用VB5．0可视化编程语言，建立了边坡稳定性的神经网络预测模型，并运用该模型对部分边坡工程的稳定性进行预测，预测结果与边坡实际稳定状态相吻合，从而表明了神经网络法在边坡稳定性预测中的有效性。 |
| 英文摘要: |
| Based on the basic principle of neural network and the practical data of 38 slopes, this paper puts forward a prediction model of neural network of the slope stability by means of visual basic 5.0 programming language. Meanwhile, a prediction for the stability of some slopes has been carried out using the predicting model. It is found out that the predicating results coincide with the practical stability states of those slopes, which shows that it is very effective using the neural network method for the predication of landslides. |
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