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:1.7630

@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.",

}

Genetic Programming entries for Larry M Deschaine

Citations