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Document type:
Konferenzbeitrag 
Author(s):
Zwirglmaier, K.; Papakosta, P.; Straub, D. 
Title:
Learning a Bayesian network model for predicting wildfire behavior 
Abstract:
A Bayesian network (BN) model for predicting wildfire spreading was developed. From the available indicator variables related to weather, topography and land cover, the most informative were selected with the help of automatic structure learning algorithms. A final BN model was then constructed from these indicators using phenomenological reasoning. Automatic structure learning of the complete model was found to have severe limitations due to large number of variables in combination with limi...    »
 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Book / Congress title:
ICOSSAR 2013 
Congress (additional information):
Proc. 11th International Conference on Structural Safety & Reliability 
Organization:
University N.Y.C. 
Year:
2013 
Reviewed:
ja 
Language:
en