Deposit prognosis by neuron networks practiced for diamonds

Avtandil A. Kvitashvili*, Rafael G. Tkhinvaleli, Erekle G. Gambashidze, Lev M. Natapov

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

An accumulated experience in geology shows ineffectiveness of the existing approaches to make a prognosis of the deposits when the available crust characteristics do not have explicit relationships to a given deposit. That takes generally place in cases of more valuable deposits as gold, diamond and so forth. The present paper proposes a use of an Artificial Neuron Network for prognosis of diamond deposits that was successfully carried out about 20 years ago while the worked out method makes it possible its application to any other ores or natural resources.

Original languageEnglish
Title of host publicationFocus on science and technology from a Georgian perspective
EditorsSergo Gotsiridze
Place of PublicationHauppauge, NY
PublisherNova Science Publishers
Pages205-212
Number of pages8
ISBN (Electronic)9781536117479
ISBN (Print)9781612099705
Publication statusPublished - 2011

Publication series

NameScientific Revolutions

Keywords

  • neuron network
  • kimberlite
  • deposit features
  • stochastic approximation

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