Using Machine Learning to Compliment and Extend the Accuracy of UXO Discrimination Beyond the Best Reported Results of the Jefferson Proving Ground Technology Demonstration

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{ASTC_2002_UXOFinder_Invention_Paper,
  author =       "Larry M. Deschaine and Richard A. Hoover and 
                 Joseph N. Skibinski and Janardan J. Patel and Frank Francone and 
                 Peter Nordin and M. J. Ades",
  title =        "Using Machine Learning to Compliment and Extend the
                 Accuracy of {UXO} Discrimination Beyond the Best
                 Reported Results of the {Jefferson} Proving Ground
                 Technology Demonstration",
  booktitle =    "2002 Advanced Technology Simulation Conference",
  year =         "2002",
  address =      "San Diego, CA, USA",
  month =        "14-18 " # apr,
  organisation = "The Society for Modeling and Simulation
                 International",
  keywords =     "genetic algorithms, genetic programming, Unexploded
                 ordnance, anomaly detection, geophysics, UXO",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/deschaine/ASTC_2002_UXOFinder_Invention_Paper.pdf",
  URL =          "http://www.scs.org/docInfo.cfm?get=1488",
  size =         "7 pages",
  abstract =     "The accurate discrimination of unexploded ordnance
                 from geophysical signals is very difficult. Research
                 has demonstrated that using a machine learning
                 technique known as linear genetic programming in
                 concert with human expertise can extend the accuracy of
                 unexploded ordnance discrimination past currently
                 published results. This paper describes how linear
                 genetic programming offers the promise of creating
                 real-time unexploded ordnance discrimination.",
  notes =        "http://www.scs.org/confernc/astc/astc02/ASTC02finalprogram.pdf

                 ",
}

Genetic Programming entries for Larry M Deschain Richard A Hoover Joseph N Skibinski Janardan J Patel Frank D Francone Peter Nordin M J Ades