This paper presents a situation assessment system structure of the warships-airplanes joint operation and a new situation assessment algorithm based on parameter learning in. Bayesian network. Previously, situation assessments are usually operated by using a normal kind of Bayesian network with immutable probability distribution, which may cause the evaluation is too subjective. Therefore, a Bayesian assessment network with parameter learning is considered for a more objective result of the situation assessment. Then a new assessment algorithm of the parameter learning is discussed, which will improve the performance of the assessment. Finally, a model of the battlefield situation assessment of the warships-airplanes joint operation is presented. Its situation assessment simulation results verify the effectiveness of the proposed algorithm.
Situation assessment in the warships-airplanes joint operation based on parameter learning in Bayesian network
2014-08-01
220159 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Online Contents | 1994
|Fire in Warships - Keeping Warships Fighting Fit
British Library Conference Proceedings | 1997
|Engineering Index Backfile | 1897
|Engineering Index Backfile | 1897
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