Fuzzy C-Means Algorithm on Identifying Grade of Expansive Soil

被引：0

作者：

Shi Xiu-song ^{[1
]}

Cheng Zhan-lin ^{[1
]}

机构：

[1] Minist Water Resources, Key Lab Geotech Mech & Engn, Yangtze River Sci Res Inst, Wuhan 430010, Peoples R China

来源：

ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION, VOL 1: ENGINEERING COMPUTATION AND FINITE ELEMENT ANALYSIS | 2010年

关键词：

expansive soil; clustering; fuzzy C-means algorithm; membership;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Ann to uncertainty, noise and multimodal of expansive soil in conventional test, fuzzy sets is introduced to clustering. The author chooses liquid limit, plasticity index, clay content, free expansion rate, CBR92 and CBR30 expansion rates as the evaluation indicators of expansive soil. Based on these, clustering of expansive soil samples is conducted using fuzzy C-means algorithm, and its clustering results is compared with the results using SOM ANN. The results show that, fuzzy C-means algorithm could achieve clustering of expansive soil accurately and efficiently.

引用

页码：180 / 183

页数：4

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