Intelligent Evaluation of Loess Collapsibility

JING Yanlin; WU Yanqing; CUI Zhongxing; SONG Xueqing; LI Yingliang

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Intelligent Evaluation of Loess Collapsibility

- Intelligent Evaluation of Loess Collapsibility
- Bulletin of Soiland Water Conservation Vol. 25, Issue 1, Pages: 53-56(2006)
- 作者机构：
  
  1. 西安理工大学岩土所,陕西,西安,710048
  2. 煤炭工业西安设计研究院,陕西,西安,710054
  3. 信息产业部电子综合勘察研究院,陕西,西安,710054
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2006
- 稿件说明：
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JING Yanlin, WU Yanqing, CUI Zhongxing, et al. Intelligent Evaluation of Loess Collapsibility[J]. Bulletin of Soiland Water Conservation, 2006, 25(1): 53-56.
DOI：

JING Yanlin, WU Yanqing, CUI Zhongxing, et al. Intelligent Evaluation of Loess Collapsibility[J]. Bulletin of Soiland Water Conservation, 2006, 25(1): 53-56. DOI：

摘要

提出了用数据挖掘中的预测技术进行黄土湿陷性评价。根据实际工程资料建立黄土物理力学数据库

用BP算法建立预测模型。实例分析表明

预测湿陷系数所得的湿陷量计算值精度可达89%

这说明黄土湿陷性的智能化评价方法具有可行性和实用性。

Abstract

This paper presents a method for assessment of loess collapsibility using the data mining technology.Coefficients of collapsibilities are predicted using the method.The database should be created based on practical engineering

and a prediction model

built with the BP neural network.The predicted loess collapse settlement is compared with the measured loess collapse settlement.Results show that prediction precision of collapse settlement is up to 89% for a specific project case.This indicates that the intelligent method of evaluating loess collapsibility is very useful in engineering

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Related Institution

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