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The impact of environmental factors to skiing injuries: Bayesian regularization neural network model for predicting skiing injuries
Gjøvik University College, Norway.ORCID iD: 0000-0001-7520-695x
Gjøvik University College, Norway.
2015 (English)In: 2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, 2015, 1-6 p., 35239Conference paper, Published paper (Refereed)
Abstract [en]

Skiing is a winter sport that is found very attractive to many people. Nevertheless, this sport is considered among high-risk sports due to the potential danger of severe injury or death. This is because of variable weather and terrain conditions, obstacles including other skiers, high speeds, trees, etc. Artificial Neural Networks have many applications in predicting the occurrence of various accident severities. In this article, we study the impact of the environmental factors to potential risk factor assessment in skiing. Hence, we apply the Bayesian Regularization Back Propagation neural network (BRBP) to predict the number of severe injuries in skiing, based on the data obtained from our prototype ski-injury registration system, the estimated bindings of environmental conditions, and the potential risk for resulting number of personal injuries. Through comparing with Levenberg Marquardt Back Propagation (LMBP), in terms of prediction accuracy, our experimental results show that BRBP has better performance by achieving higher predictive accuracy.

Place, publisher, year, edition, pages
IEEE, 2015. 1-6 p., 35239
Keyword [en]
environmental factors ; injuries ; neural nets ; sport ; Bayesian regularization backpropagation neural network ; Bayesian regularization neural network model ; artificial neural networks ; environmental factors ; risk factor assessment ; skiing injuries ; winter sport ; Artificial neural networks ; Bayes methods ; Biological neural networks ; Injuries ; Mathematical model ; Snow ; Training ; Artificial Neural Networks ; Bayesian Regularization ; skiing injuries prediction
National Category
Information Systems, Social aspects
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-67898DOI: 10.1109/ICCCNT.2015.7395218ISBN: 978-1-4799-7984-4 (electronic)ISBN: 978-1-4799-7983-7 OAI: oai:DiVA.org:lnu-67898DiVA: diva2:1141946
Conference
2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 13-15 July 2015, Denton, TX, USA
Available from: 2017-09-18 Created: 2017-09-18 Last updated: 2017-09-21Bibliographically approved

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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