Evaluation of the Parameters of SOM Model for Selecting Design Section

Article ID

BK232

Evaluation of the Parameters of SOM Model for Selecting Design Section

Eun-Sang Im
Eun-Sang Im K-water Institute, K-water
Dae-hyeon Kim
Dae-hyeon Kim
DOI

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.

Evaluation of the Parameters of SOM Model for Selecting Design Section

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.

Eun-Sang Im
Eun-Sang Im K-water Institute, K-water
Dae-hyeon Kim
Dae-hyeon Kim

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Eun-Sang IM. 2014. “. Global Journal of Research in Engineering – E: Civil & Structural GJRE-E Volume 14 (GJRE Volume 14 Issue E3): .

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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Evaluation of the Parameters of SOM Model for Selecting Design Section

Eun-Sang Im
Eun-Sang Im K-water Institute, K-water
Dae-hyeon Kim
Dae-hyeon Kim

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