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Three-Dimensional Site Characterization Model of Bangalore Using Support Vector Machine
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The main objective of site characterization is the prediction of in situ soil properties at any half-space point at a site based on limited tests.
In this study, the Support Vector Machine (SVM) has been used to develop a three dimensional site characterization model for Bangalore, India based on large amount of Standard Penetration Test.
SVM is a novel type of learning machine based on statistical learning theory, uses regression technique by introducing ε-insensitive loss function.
The database consists of 766 boreholes, with more than 2700 field SPT values (N) spread over 220 sq km area of Bangalore.
The model is applied for corrected N (Nc) values.
The three input variables (x, y, and z, where x, y, and z are the coordinates of the Bangalore) were used for the SVM model.
The output of SVM was the Nc data.
The results presented in this paper clearly highlight that the SVM is a robust tool for site characterization.
In this study, a sensitivity analysis of SVM parameters (σ, C, and ε) has been also presented.
American Psychological Association (APA)
Samui, Pijush. 2012. Three-Dimensional Site Characterization Model of Bangalore Using Support Vector Machine. ISRN Soil Science،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-464564
Modern Language Association (MLA)
Samui, Pijush. Three-Dimensional Site Characterization Model of Bangalore Using Support Vector Machine. ISRN Soil Science No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-464564
American Medical Association (AMA)
Samui, Pijush. Three-Dimensional Site Characterization Model of Bangalore Using Support Vector Machine. ISRN Soil Science. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-464564
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464564