his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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
Towards Hypothesis Evaluation in Command and Control Systems
Vehco (www.vehco.com), Gothenburg, Sweden / JPB Solutions ( www.jpbs.se), Sweden.
University of Skövde, School of Humanities and Informatics. M&S and Information Fusion Security Solutions Ericsson, Skövde, Sweden.
University of Skövde, School of Humanities and Informatics.ORCID iD: 0000-0001-9423-9079
2006 (English)In: SAIS 2006: The 23rd Annual Workshop of the Swedish Artificial Intelligence Society, Umeå: Swedish Artificial Intelligence Society - SAIS , 2006, p. 97-102Conference paper, Published paper (Other academic)
Abstract [en]

This work focus on situation prediction in data fusion systems. A hypothesis evaluation algorithm based on artificial neural networks is introduced. It is evaluated and compared to an algorithm based on Bayesian networks which is commonly used. It is also compared to a simple "dummy" algorithm. For the tests, a computer based model of the environment, including protected objects and enemy objects, is implemented. The model handles the navigation of the enemy objects and situational data is extracted from the environment and provided for the hypothesis evaluation algorithms. It was the belief of the author that ANNs would be suitable for hypothesis evaluation if a suitable data representation of the environment were used. The representation requirements include pre processing of the situational data to eliminate the need for variable input size to the algorithm. This because ANNs poorly handles this; the whole network have to be retrained each time the amount of input data changes. The results show that ANNs performed best of the three and hence seems to be suitable for hypothesis evaluation.

Place, publisher, year, edition, pages
Umeå: Swedish Artificial Intelligence Society - SAIS , 2006. p. 97-102
Series
Report / UMINF, ISSN 0348-0542 ; 19
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:his:diva-1876OAI: oai:DiVA.org:his-1876DiVA, id: diva2:32152
Conference
SAIS 2006, Umeå, May 10-12
Available from: 2007-09-14 Created: 2007-09-14 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Proceedings

Authority records BETA

Brax, ChristofferGustavsson, Per M.

Search in DiVA

By author/editor
Brax, ChristofferGustavsson, Per M.
By organisation
School of Humanities and Informatics
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 723 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • 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