Identification Method of Task Community Based on Bayesian Belief Network
- 10.2991/eame-18.2018.80How to use a DOI?
- task community; bayesian belief network; conditional probability table; target grouping
With the increaseing of the combat capability of the weapon platform, the striking range of the weapon platform is expanding, and it is necessary to classify the weapon platform according to the target that the weapon platform may hit. It can distinguish the task community, enhancing the cognition and supporting combat decision. Therefore, this paper discusses the issue of task community identification. First, the concept of the task community was introduced. Then, it explores the ideas and methods framework of task community identification. Then, we discuss the method of target attempt evaluation based on Bayesian network, and analyze the structure of Bayesian network model and how to determine the conditional probability table. Finally, a simulation example is given to demonstrate the feasibility and effectiveness of the method.
- © 2018, 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 - Xuezhi Lv AU - Changjiang Liu PY - 2018/06 DA - 2018/06 TI - Identification Method of Task Community Based on Bayesian Belief Network BT - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018) PB - Atlantis Press SP - 380 EP - 385 SN - 2352-5401 UR - https://doi.org/10.2991/eame-18.2018.80 DO - 10.2991/eame-18.2018.80 ID - Lv2018/06 ER -