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| 单桩极限承载力的ANFIS预测分析 | |
| 引用本文： | 汪能君,雷勇军,郑荣跃. 单桩极限承载力的ANFIS预测分析[J]. 黑龙江科技学院学报, 2006, 16(2): 124-126,134 |
| 作者姓名： | 汪能君 雷勇军 郑荣跃 |
| 作者单位： | 1. 国防科技大学,航天与材料学院,长沙,410073;宁波大学,建筑工程与环境学院,浙江,宁波,315211 2. 国防科技大学,航天与材料学院,长沙,410073 3. 宁波大学,建筑工程与环境学院,浙江,宁波,315211 |
| 摘 要： | 为了提高单桩极限承载力的预测精度,利用ANFIS较强的学习能力和模糊逻辑推理功能,建立了单桩竖向极限承载力预测的自适应网络模糊推理系统.通过静载荷试验成果的学习与预测检验,系统的预测误差在-10.5%～15.5%,绝大部分误差都在10%以内,表明该系统预测精度良好、适用性较强. |
| 关 键 词： | 单桩极限承载力 静载荷试验 ANFIS 预测 |
| 文章编号： | 1671-0118（2006）02-0124-03 |
| 收稿时间： | 2006-03-18 |
| 修稿时间： | 2006-03-18 |
Predicting bearing capacity of single pile using ANFIS |
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| WANG Nengjun,LEI Yongjun,ZHENG Rongyue. Predicting bearing capacity of single pile using ANFIS[J]. Journal of Heilongjiang Institute of Science and Technology, 2006, 16(2): 124-126,134 | |
| Authors: | WANG Nengjun LEI Yongjun ZHENG Rongyue |
| Affiliation: | 1. National University of Defense Technology, Changsha 410073, China; 2. Faculty of Architectural, Civil Engineering and Environment, Ningbo University, Ningbo 315211, China |
| Abstract: | Based on the strong learning ability and fuzzy logic function of ANFIS, a method for higher accuracy in predicting vertical ultimate bearing capacity of single pile is presented. In this model data of static tests are trained and predicted. It is showed that the method is feasible and effective. |
| Keywords: | bearing capacity of single pile static tests ANFIS prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |