PIPELINE DEFECT PREDICTION USING SUPPORT VECTOR MACHINES-Reference-Cited by-同舟云学术

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PIPELINE DEFECT PREDICTION USING SUPPORT VECTOR MACHINES

Published:2009-10-16 Issue:8 Volume:23 Page:758-771
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Isa Dino,Rajkumar Rajprasad

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

http://www.tandfonline.com/doi/pdf/10.1080/08839510903210589

Reference16 articles.

1. Bickerstaff , R. , M. Vaughn , G. Stoker , M. Hassard , and M. Garrett . 2002 . Review of sensor technologies for in-line inspection of natural gas pipelines, Report, Sandia National Laboratories, Albuquerque, New Mexico, USA.

2. Chang , C. and C. Lin . 2001 . LIBSVM: A Library for Support Vector Machines. Software available at:http://www.csie.ntu.edu.tw/~cjlin/libsvm/. 20 January 2009 .

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