Intention analysis method based on dynamic Bayesian network

A dynamic Bayesian and analytical method technology, applied in special data processing applications, instruments, electrical digital data processing, etc. The effect of meeting application needs

Active Publication Date: 2017-08-04
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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AI Technical Summary

Problems solved by technology

The defects of the existing methods mainly include: a) some methods only consider the static relationship between each factor and the event of interest, and fail to reflect the continuous change characteristics in time; Usually, tasks are performed in the form of formation group targets; c) The amount of calculation consumed by traditional dynamic Bayesian network for accurate inference increases rapidly with time, which is difficult to meet the needs of practical applications

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  • Intention analysis method based on dynamic Bayesian network
  • Intention analysis method based on dynamic Bayesian network
  • Intention analysis method based on dynamic Bayesian network

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Embodiment Construction

[0063] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0064] refer to figure 1 , the intent analysis method based on dynamic Bayesian network of the present invention, specifically comprises the following steps:

[0065] Step 1. Initially set to training mode;

[0066] Step 2. Data collection and arrangement.

[0067] 2.1) Initialize the performance parameters, including: the upper limit of the speed of the blue team target v sup ;

[0068] 2.2) Let the initial time k=1, and read in the observation data at time k, including: the intention of the red party R k , the value is "retreat", "defense" or "attack", and the degree of firefighting is F k , the value is "low", "medium" or "high", and the number of blue targets m k , the number of targets on the red side n k , the quantitative data of the blue team's target strength e j Indicates the quantitative value of the jth target strength of...

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Abstract

The invention discloses an intention analysis method based on a dynamic Bayesian network, and relates to the technical field of situation estimation. The intention analysis method includes the steps of collecting and organizing data, and then extracting situation factors; integrating various situation factors, and establishing a dynamic Bayesian network topology; learning and setting network parameters; realizing fast approximate Bayesian inference based on Markov property; combine the posterior probabilities of various intentions to form a blue part intention at the current moment; outputting intention analysis results. The intention analysis method can synthesize various situation factors and carry out rational and intelligent reasoning analysis, thereby realizing a dynamic estimation of blue part group target intentions. The intention analysis method can be used for the situation estimation and control system commands.

Description

technical field [0001] The invention belongs to the technical field of situation estimation, and in particular relates to an intention analysis method based on a dynamic Bayesian network, which can be used in situation estimation and command and control systems. Background technique [0002] Today's regional conflicts are characterized by diverse objects and complex environments. Faced with a sharp increase in the amount of observation data, if manual processing is still relied on, the timeliness and consistency are difficult to meet actual needs. Therefore, it is necessary to use the advantages of computer storage and computing to deal with a large number of recurring regular situations, so as to reduce the workload of the commander and enable him to grasp the real-time dynamics more quickly and effectively. Among them, intent analysis is a higher-level situation estimation technology, which can predict the action intention of the blue team through reasoning based on the ex...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06K9/62
CPCG06F30/20G06F18/24155G06F18/214
Inventor 樊振华师本慧陈金勇段同乐齐小谦
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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