Using Information fusion, machine learning, and global optimisation to increase the accuracy of finding and understanding items interest in the subsurface

Created by W.Langdon from gp-bibliography.bib Revision:1.8276

@Article{GDI0605scr,

• author = "Larry Deschaine",
• title = "Using Information fusion, machine learning, and global optimisation to increase the accuracy of finding and understanding items interest in the subsurface",
• journal = "GeoDrilling International",
• year = "2006",
• number = "122",
• pages = "30--32",
• month = may,
• address = "London",
• keywords = "genetic algorithms, genetic programming, Groundwater plumes, Source zones, Landmines and unexploded ordnance UXO",
• URL = "http://www.mining-journal.com/gdi_magazine/pdf/GDI0605scr.pdf",
• size = "3 pages",
• notes = "

  SUMMARY Exploration in the subsurface is expensive and complex. By appropriately using analysis tools that synergistically exploit the information content of data and other information, better decisions can be made.

  info@aspermontmedia.com",

}

Genetic Programming entries for Larry M Deschaine

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