| 基于神经网络深基坑桩排支护及地表沉降研究 |
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| 引用本文： | 王锦山. 基于神经网络深基坑桩排支护及地表沉降研究[J]. 沈阳工业大学学报, 2001, 23(1): 79-82 |
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| 作者姓名： | 王锦山 |
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| 作者单位： | 辽宁工程技术大学, |
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| 摘 要： | 基于人工神经网络原理，构筑深基坑桩排支护设计及地层沉降的多级神经网络，对深基坑桩排支护设计的参数进行设计和优化，对地表沉降进行分析，应用结果表明，该方法可靠性强，有较高的实用价值和应用前景。
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| 关 键 词： | 人工神经网络 深基坑 参数设计 地表沉降 桩排支护 |
| 文章编号： | 1000-1646(2001)01-0079-04 |
| 修稿时间： | 2000-09-14 |
Study on structure design and ground settlement in deep foundation pit based on artificial neural networks |
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| WANG Jin-san. Study on structure design and ground settlement in deep foundation pit based on artificial neural networks[J]. Journal of Shenyang University of Technology, 2001, 23(1): 79-82 |
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| Authors: | WANG Jin-san |
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| Abstract: | Based on artificial neural networks theory, the multi-level neural networks for structure design and ground settlement are builded to design and optimize support parameters. The results show that the multi- level neural networks is of high reliability, very high practical value and wide application future. |
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| Keywords: | artificial neural networks deep foundation pit parameters design ground settlement |
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