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| RBF神经网络在复合地基承载力预测中的应用 | |
| 引用本文： | 王林鹏,马巧花,马细霞. RBF神经网络在复合地基承载力预测中的应用[J]. 河南科学, 2011, 29(9): 1091-1093 |
| 作者姓名： | 王林鹏 马巧花 马细霞 |
| 作者单位： | 1. 郑州建工集团有限公司,郑州,450000 2. 河南城源建设工程有限公司,郑州,450008 3. 郑州大学水利与环境学院,郑州,450001 |
| 摘 要： | 利用径向基函数(RBF)神经网络,建立复合地基承载力预测模型,有效解决复合地基承载力预测中的非线性问题.以历史数据为依据,对所建立的RBF神经网络预测模型进行模拟和检验.实例结果表明:应用RBF神经网络所建立的复合地基承载力预测模型,能真实地表达要素之间的高度非线性关系,具有较高的预测精度和较强的实际应用价值. |
| 关 键 词： | RBF神经网络 复合地基 承载力 |
The Application of RBF Neural Network in the Forecast of Bearing Capacity of Composite Foundation |
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| Wang Linpeng,Ma Qiaohua,Ma Xixia. The Application of RBF Neural Network in the Forecast of Bearing Capacity of Composite Foundation[J]. Henan Science, 2011, 29(9): 1091-1093 | |
| Authors: | Wang Linpeng Ma Qiaohua Ma Xixia |
| Affiliation: | Wang Linpeng1,Ma Qiaohua2,Ma Xixia3(1.Zhengzhou Construction Group Co.,Ltd.,Zhengzhou 450000,China,2.Henan Chengyuan Construction Engineering Co.,Zhengzhou 450008,3.College of Water Conservancy & Environmental Engineering ZZU,Zhengzhou 450001,China) |
| Abstract: | The nonlinear problems of bearing capacity of composite foundation for prediction was solved effectively by using radial basis function(RBF) neural network and establishing the forecast of bearing capacity of composite foundation model.According to historical data,we carry out the simulation and experiment of RBF neural network predictive model.The results show that the application of RBF neural network in the forecast of bearing capacity of composite foundation model can truly express between elements of t... |
| Keywords: | RBF neural network composite foundation bearing capacity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |