Identification Method of Task Community Based on Bayesian Network

A Bayesian network and recognition method technology, applied in the field of task community recognition, can solve problems such as functional groups and interaction group grouping problems that are less studied

Active Publication Date: 2021-09-14
中国人民解放军32153部队
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  • Description
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AI Technical Summary

Problems solved by technology

It can be seen that at present, most scholars at home and abroad regard the target grouping problem as a clustering problem, and use various clustering methods to solve this problem, but only study the space group grouping problem, and the functional group, interaction group The grouping problem is less studied

Method used

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  • Identification Method of Task Community Based on Bayesian Network
  • Identification Method of Task Community Based on Bayesian Network
  • Identification Method of Task Community Based on Bayesian Network

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Embodiment Construction

[0027] Below in conjunction with embodiment the present invention is described in further detail:

[0028] The mission community refers to the group with the same mission, which is used to identify the deployment of enemy forces that perform the same mission. Take the task of the enemy attacking our target as an example. Before the enemy launches a strike operation, we do not know which target the enemy's weapon platform or weapon is trying to attack. Before the enemy's weapon platform or weapon attacks our target, in order to increase the probability of success of the strike, it may also take some actions to perform feints and feints, which will increase the difficulty for us to judge the enemy's attack target. Before attacking our target, the enemy's weapon platform or weapon attack attempt (attack probability) on our target is different and changes with time. Therefore, our judgment on whether the enemy's weapon platform and weapon belong to the mission community needs to ...

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Abstract

The invention discloses a task community identification method based on a Bayesian network, which belongs to the field of combat analysis, including dividing enemy space groups with the same attack attempt on our target into the same task community, and at the same time, it is necessary to continuously Calculate the attack attempts of each space group on our target, and then re-divide the task community, in which the attack attempt assessment is based on the Bayesian network. The invention provides a task community identification method based on the Bayesian network, which enhances the cognition of the situation and assists in combat decision-making.

Description

technical field [0001] The invention relates to the field of combat analysis, in particular to a method for identifying mission communities. Background technique [0002] The range and accuracy of modern weapons continue to increase, and weapons platforms located in different geographic spaces can engage the same target. In order to enhance the awareness of the situation and assist in operational decision-making, it is necessary to identify and distinguish weapon platforms according to the targets they may strike. This problem can be called the task community identification problem. This problem belongs to the target grouping problem in the field of situational awareness. Target groups include target object group, space group and task group from low level to high level. Task community can be regarded as a task group, and task community identification can be regarded as the problem of distinguishing task groups. A mission group refers to a group formed by multiple tactical...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/00G06N5/02
CPCG06N3/008G06N5/022
Inventor 刘长江吕学志刘军一谷玉陈晓陈勇李贵亮刑光放尹健张爱军梅奇义
Owner 中国人民解放军32153部队
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