Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)

An Adaptive Bayesian Network Inference Algorithm for Network Situation Awareness

Authors
Jie Li, Lingwei Chu, Cheng Dong, Xiaoyuan Lu
Corresponding Author
Jie Li
Available Online August 2013.
DOI
10.2991/icaise.2013.41How to use a DOI?
Keywords
Cognitive network, bayesian network, inference, adaptive
Abstract

The traditional Bayesian network is relatively fixed, the set of nodes, and intensity dependence relationships are rarely change, thus, it is unable to reflect changes in the actual network state. Such an inaccurate network model is also difficult to inference subsequent network. In order to solve the problem of inference is not accurate enough in traditional model, in this paper, the Markov changes of node parameters with time based on Bayesian network is studied. Next, an adaptive inference sampling strategy is put forward and an adaptive inference model based on Bayesian network is designed, then proposes an adaptive Bayesian network Inference algorithm. Finally, simulation results show the effectiveness of the proposed algorithm compared with other algorithms.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-71-0
ISSN
1951-6851
DOI
10.2991/icaise.2013.41How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jie Li
AU  - Lingwei Chu
AU  - Cheng Dong
AU  - Xiaoyuan Lu
PY  - 2013/08
DA  - 2013/08
TI  - An Adaptive Bayesian Network Inference Algorithm for Network Situation Awareness
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 194
EP  - 198
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.41
DO  - 10.2991/icaise.2013.41
ID  - Li2013/08
ER  -