OCR Prediction Using Support Vector Machine Based on Piezocone Data-Reference-Cited by-同舟云学术

OCR Prediction Using Support Vector Machine Based on Piezocone Data

Published:2008-06 Issue:6 Volume:134 Page:894-898
ISSN:1090-0241
Container-title:Journal of Geotechnical and Geoenvironmental Engineering
language:en
Short-container-title:J. Geotech. Geoenviron. Eng.

Author:

Samui Pijush¹²³,Sitharam T. G.¹²³,Kurup Pradeep U.¹²³

Affiliation:

1. Research Scholar, Dept. of Civil Engineering, Indian Institute of Science, Bangalore, India. E-mail: pijush@civil.iisc.ernet.in

2. Professor, Dept. of Civil Engineering, Indian Institute of Science, Bangalore 560012, India. E-mail: sitharam@civil.iisc.ernet.in

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Massachusetts Lowell, 1 University Ave., Lowell, MA 01854. E-mail: Pradeep_Kurup@uml.edu

Publisher

American Society of Civil Engineers (ASCE)

Subject

Geotechnical Engineering and Engineering Geology,General Environmental Science

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291090-0241%282008%29134%3A6%28894%29

Reference28 articles.

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2. Boser B. E. Guyon I. M. and Vapnik V. N. (1992). “A training algorithm for optimal margin classifiers.” 5th Annual ACM Workshop on COLT D. Haussler ed. ACM Press Pittsburgh 144–152.

3. Chen B.S-Y. and Mayne P. W. (1994). “Profiling the OCR of clays by piezocone tests.” Rep. No. CEEGEO-94-1 Georgia Institute of Technology Atlanta.

4. Support-vector networks

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