| 深基坑支护变形的模糊神经网络预测 |
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| 引用本文： | 吴贤国,蔡心田,李亚楠.深基坑支护变形的模糊神经网络预测[J].基建优化,2005,26(5):83-87. |
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| 作者姓名： | 吴贤国 蔡心田 李亚楠 |
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| 作者单位： | 华中科技大学,土木工程与力学学院,武汉,430074 |
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| 基金项目： | 国家自然科学基金项目（70171049） |
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| 摘 要： | 由于土体固有性质的复杂性和不确定性，深基坑支护变形与其影响因素之间的关系是极为复杂的非线性关系。本文将神经网络和模糊系统相结合，采用模糊神经网络对深基坑支护变形进行预测，计算实例表明，该方法具有较高的预测精度。
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| 关 键 词： | 深基坑支护变形 模糊推论 模糊神经网络 灰色关联度 |
| 文章编号： | 1000-7717(2005)05-0083-05 |
| 收稿时间： | 2005-06-10 |
| 修稿时间： | 2005年6月10日 |
Deformation Predication of Bracing of Deep Excavation Pit Based on Fuzzy Neural Network |
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| WU Xian-guo,CAI Xin-tian,LI Ya-nan.Deformation Predication of Bracing of Deep Excavation Pit Based on Fuzzy Neural Network[J].Optimization of Capital Construction,2005,26(5):83-87. |
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| Authors: | WU Xian-guo CAI Xin-tian LI Ya-nan |
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| Institution: | College of Civil Engineering and Mechanics, Huazhong University of Science and Technology , Wuhan 430074, China |
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| Abstract: | Because the property of soil is complexity and uncertainty; the relationship between deformation of bracing of deep excavation pit and relative factors is very complicated nonlinearity. The result of study showed that the model of fuzzy artifical neural network applied to deformation predication of bracing of deep excavation pit have high precision in forecasting and can be applied in actual projects. |
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| Keywords: | deformation of bracing of deep excavation pit fuzzy approximate inference fuzzy neural network grey associative analysis |
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