Evaluation of the Parameters of SOM Model for Selecting Design Section

Eun-Sang IM

Evaluation of the Parameters of SOM Model for Selecting Design Section

Eun-Sang IM * §

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§ K-water Institute, K-water

Evaluation of the Parameters of SOM Model for Selecting Design Section

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Abstract

In order to support the basic information for designing the soft ground improvement, it is highly recommended to understand the spatial distribution of the geotechnical parameters in the landfill site. Therefore, in the present study, we applied Self-Organizing Map (SOM) to detect the characteristics of spatial distribution of the parameters which have been measured in Songsan Green City. For the purpose, the input dataset for SOM was constructed with the classification by USCS, initial Void ratio, unconfined compression strength, compression index from the stations of 41 in the site. Consequently, the methodology based on the SOM proposed in the present study can be considered that it is highly applicable to detect the spatial distribution of the Parameters and it can be used effectively for the further utilization as a data analysis tool.

References

10 Cites in Article

Reference Format

K Kim (2003). Development of Algorithm for recognizing car plates and parking management system using SOM.
Y Kim,Jin,Y Park,S (2006). Application of SOM for analysis of rainfall-discharge characteristics.
W Park,S Jung,K Kim,W Ahn,M Shin (2008). Investigation of Content-Based Image using Data Integration.
Y Jin,Y Kim,K Noh,S Park (2009). Application of SOM for locating Space Distribution based on Water Quality and Quantity.
남덕현,임준형 (2009). Collaborative Governance and Conflict Resolution on a Public Project: The case of Songsan Green City Development Project in Korea.
H Gatciar,I Gonzalez (2004). Selforganizing map and clustering for wastewater treatment monitoring.
Ian Witten,Eibe Frank (2005). Data Mining: Prectical mechine learning tools and techniques.
Juha Vesanto,Johan Himberg,Esa Alhoniemi,Juha Parahankangas (2000). SOM toolbox for matlab 5.
Teuvo Kohonen (1982). Self-organized formation of topologically correct feature maps.
K Luk,J Ball,A Sharma (2000). A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Eun-Sang IM. 2014. "Evaluation of the Parameters of SOM Model for Selecting Design Section". Global Journal of Research in Engineering - E: Civil & Structural GJRE-E Volume 14 (GJRE Volume 14 Issue E3).

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GJRE Volume 14 Issue E3

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Clustering Consolidation design section self-organizing map (som)soft ground

Classification

GJRE-E Classification FOR Code: 090599

090506

Submission ReceivedDecember 16, 2013
Peer Review Double Blind
Handling Editor
Accepted January 1, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

August 22, 2014

Language

English

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Article Matrices

Total Score: 102

Country: Unknown

Subject: Global Journal of Research in Engineering

Authors: Eun-Sang Im, Dae-hyeon Kim (PhD/Dr. count: 0)

View Count (all-time): 374

Total Views (Real + Logic): 947

Total Downloads (simulated): 49

Publish Date: 2014 01, Wed

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Total Views: 947

Total Downloads: 49

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