Application of artificial neural networks to ground settlements

被引：0

作者：

Yoon, YW ^{[1
]}

Kang, BH ^{[1
]}

Kang, TH ^{[1
]}

机构：

[1] Inha Univ, Dept Civil Engn, Seoul, South Korea

来源：

SOIL MECHANICS AND GEOTECHNICAL ENGINEERING, VOL 1: ELEVENTH ASIAN REGIONAL CONFERENCE | 1999年

关键词：

D O I：

暂无

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

Due to various reasons, theoretical prediction of ground settlement based on experimental data from laboratory misleads time-settlements behavior in the fields. In order to apply the artificial neural network to ground settlements, data based on the theoretical calculations were used beforehand for neural network training and testing. Thereafter the training and learning algorithms were further applied to the prediction of ground settlement of a field. With supplement of field data, the accuracy of prediction could be improved.

引用

页码：451 / 454

页数：4

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