| 基于人工神经网络的复合地基沉降预测 |
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| 引用本文： | 王成华,陈海军. 基于人工神经网络的复合地基沉降预测[J]. 青岛理工大学学报, 2007, 28(3): 32-35 |
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| 作者姓名： | 王成华 陈海军 |
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| 作者单位： | 天津大学,建筑工程学院,天津,300072;天津大学,建筑工程学院,天津,300072 |
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| 摘 要： | 利用人工神经网络强大的非线性映射和学习能力,提出了基于人工神经网络的复合地基沉降预测新方法.该方法利用实测资料直接建模,避免了传统方法计算过程中各种人为因素的干扰,所建立的模型预测精度高、简便易行,因此具有广泛的工程实用价值.
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| 关 键 词： | 人工神经网络 复合地基 沉降预测 |
| 文章编号： | 1673-4602（2007）03-0032-04 |
| 修稿时间： | 2006-09-18 |
Predication of the settlement of composite foundation by artificial neural network |
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| WANG Cheng-hua,CHEN Hai-jun. Predication of the settlement of composite foundation by artificial neural network[J]. Journal of Qingdao Technological University, 2007, 28(3): 32-35 |
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| Authors: | WANG Cheng-hua CHEN Hai-jun |
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| Affiliation: | School of Civil Engineering, Tianjin University, Tianjin 300072, China |
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| Abstract: | By the use of the strong nonlinear mapping and learning ability of artificial neural networks(ANN),a new method for evaluating final settlement of composite foundation is presented in this paper.Since the model of this method is directly based on real samples,it can avoid the mistakes due to factitiousness in traditional methods.It is proved that the prediction model is accurate and easy to operate,so the method has a widely practical engineering value. |
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| Keywords: | artificial neural network composite foundation settlement prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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