SETTLEMENT PREDICTION FOR THE HIGH FILL EMBANKMENT VIA SUPPORT VECTOR MACHINE

机译：通过支持向量机进行高填充路堤的沉降预测

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Support Vector Machine (SVM) could establish nonlinear relation between input data and output data through adaptive learning of measured samples without any assumptions, and the relationship could reflect the potential laws among data more objectively. In this study, SVM was proposed to predict the settlement of high fill embankment, and the Polynomial kernel function and SMO arithmetic were determined. Through the reported instance, the results could suggest the feasibility and serviceability of SVM in geotechnical engineering.

机译：支持向量机（SVM）可以通过对学习样本的自适应学习而无需任何假设地建立输入数据与输出数据之间的非线性关系，并且该关系可以更客观地反映数据之间的潜在规律。在这项研究中，提出了SVM来预测高填方路堤的沉降，并确定了多项式核函数和SMO算法。通过报告的实例，结果可能表明支持向量机在岩土工程中的可行性和可服务性。

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来源
《Sino-Japan Geotechnical Symposium November; 20071104-07; Chongqing(CN)》|2007年|P.455-459|共5页
会议地点 Chongqing(CN)
作者
LINYOU PAN; FUXUE SUN;
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作者单位

School of Civil Engineering and Architecture, Wuhan University of Technology,Wuhan 430070,China;

College of Architecture and Civil Engineering, Wenzhou University, Wenzhou 325035,China;

College of Architecture and Civil Engineering, Wenzhou University, Wen;

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会议组织
原文格式 PDF
正文语种 eng
中图分类土力学、地基基础工程;
关键词
Support Vector Machine (SVM); Settlement Prediction; High Fill Embankment;

机译：支持向量机；沉降预测；高填方路堤;

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3. Settlement Prediction of Road Soft Foundation Using a Support Vector Machine (SVM) Based on Measured Data [J] . Huiling Yu, Yunlong Shangguan MATEC Web of Conferences . 2016,第1期

机译：基于测量数据的支持向量机（SVM）预测道路软基沉降
4. SETTLEMENT PREDICTION FOR THE HIGH FILL EMBANKMENT VIA SUPPORT VECTOR MACHINE [C] . LINYOU PAN, FUXUE SUN Sino-Japan Geotechnical Symposium . 2007

机译：通过支持向量机对高填充路堤的结算预测
5. Settlement predictions of highway embankments on marine clay using in situ geotechnical testing. [D] . Coen, Adam S. 2016

机译：利用原位岩土试验对海洋粘土公路路堤的沉降预测。
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7. Foundation Treatment Assessment and Postconstruction Settlement Prediction of a Loess High Fill Embankment: A Case Study [O] . Caihui Zhu, Xiaosong Zhou, Songhe Wang 2020

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SETTLEMENT PREDICTION FOR THE HIGH FILL EMBANKMENT VIA SUPPORT VECTOR MACHINE

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