uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Application of artificial neural networks to fracture analysis at the Aspo HRL, Sweden: fracture sets classification
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Earth Sciences, Department of Earth Sciences.
2001 (English)In: INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, ISSN 1365-1609, Vol. 38, no 5, 621-639 p.Article in journal (Refereed) Published
Abstract [en]

This study investigates the potential of artificial neural networks (ANNs) to recognize, classify and predict patterns of different fracture sets in the top 450m in crystalline rocks at the Aspo Hard Rock Laboratory (HRL), Southeastern Sweden. ANNs are co

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2001. Vol. 38, no 5, 621-639 p.
Keyword [en]
artificial neural networks; fractures; data analysis; Aspo HRL; PERMEABILITY
Identifiers
URN: urn:nbn:se:uu:diva-37879OAI: oai:DiVA.org:uu-37879DiVA: diva2:65778
Note
Addresses: Talbot CJ, Uppsala Univ, Dept Earth Sci, Hans Ramberg Tecton Lab, Norbyvagen 16, S-75236 Uppsala, Sweden. Uppsala Univ, Dept Earth Sci, Hans Ramberg Tecton Lab, S-75236 Uppsala, Sweden.Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2011-01-14

Open Access in DiVA

No full text

By organisation
Department of Earth Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 369 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf