| 人工神经网络确定和优化桩基持力层 |
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| 引用本文： | 杨敏,殷海涛.人工神经网络确定和优化桩基持力层[J].同济大学学报(自然科学版),2007,35(2):156-160. |
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| 作者姓名： | 杨敏 殷海涛 |
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| 作者单位： | 1. 同济大学,地下建筑与工程系,上海,200092
2. 同济大学,地下建筑与工程系,上海,200092;上海港建设工程安全质量监督站,上海,200120 |
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| 摘 要： | 引入人工神经网络（ANN）到新的桩基设计辅助系统中，提高利用人工智能进行桩基设计的能力，确定和优化桩基持力层，对ANN在桩基辅助设计中的应用进行有益的尝试．详细介绍了它的建模方法，结合工程实例，对ANN在上海地区常规土层条件下桩基持力层中的应用进行计算和分析，并对需要进一步研究的问题给出了建议．
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| 关 键 词： | 桩基础 持力层 人工神经网络 优化 预测 设计 辅助系统 人工智能 |
| 文章编号： | 0253-374X（2007）02-0156-05 |
| 修稿时间： | 2005-05-31 |
Defining and Optimizing Bearing Stratum of Piles with ANN |
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| YANG Min,YIN Haitao.Defining and Optimizing Bearing Stratum of Piles with ANN[J].Journal of Tongji University(Natural Science),2007,35(2):156-160. |
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| Authors: | YANG Min YIN Haitao |
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| Affiliation: | 1. Department of Geotechnical Engineering, Tongii University, Shanghai 200092,China; 2. Construction Projects Security and Quality Surveillance Station of Shanghai Port,Shanghai 200120,China |
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| Abstract: | Artificial neural network(ANN) is introduced into a new pile design aiding system to improve the ability of pile design with AI so as to define and optimize the bearing stratum of piles.Modeling methods and application of ANN in bearing stratum under routine soil deposit of Shanghai are discussed,and some proposals are put forward as well. |
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| Keywords: | pile foundation bearing stratum artificial neural network optimization prediction design aided system artificial intelligence |
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