Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for identifying cluster formation and motion trend in unmanned equipment confrontation

A motion trend and recognition method technology, applied in character and pattern recognition, biological neural network models, instruments, etc., can solve the problems of low accuracy and poor performance of situation recognition, and achieve high situation recognition accuracy, efficient and reasonable processing. Effect

Inactive Publication Date: 2021-04-16
HARBIN INST OF TECH
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problems of poor performance and low accuracy of situation recognition when dealing with cluster situation recognition problems in the existing unmanned equipment confrontation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for identifying cluster formation and motion trend in unmanned equipment confrontation
  • Method and system for identifying cluster formation and motion trend in unmanned equipment confrontation
  • Method and system for identifying cluster formation and motion trend in unmanned equipment confrontation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be further described below with specific implementation methods.

[0034] like Figures 1 to 4 Shown, the present invention comprises the steps:

[0035] Include the following steps:

[0036] Step 1, constructing the supervised learning classification model of cluster formation and movement trend recognition method;

[0037] Step 2, constructing a neural network model for cluster formation and movement trend recognition, and establishing a mapping space from cluster situation sequence information to cluster formation and movement trend recognition in the classification model;

[0038] Step 3. Construct a cluster situation recognition training sample set, and train and learn the neural network model;

[0039] Step 4: Input the cluster situation sequence information into the classification model of the neural network parameters to identify the cluster formation and movement trend.

[0040] In step 2, construct a cluster situation recognition...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for identifying a cluster formation and a motion trend in unmanned equipment confrontation. The method comprises the following steps: 1, constructing a supervised learning classification model of a cluster formation and motion trend identification method; 2, constructing a cluster formation and motion trend identification neural network model, and establishing a mapping space from cluster situation sequence information to cluster formation and motion trend identification in the classification model; 3, constructing a cluster situation recognition training sample set; and 4, inputting the cluster situation sequence information into the classification model of the neural network parameters, and identifying a cluster formation and a motion trend. According to the invention, a complete cluster formation and motion trend identification method applicable to a large-scale cluster is constructed, through application of a differentiated attention structure, the method can selectively pay attention to and process more important situation information, simplification and dimensionality reduction of the large-scale situation information are realized. And the identification of the cluster formation and the motion trend is completed.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method for identifying cluster formations and movement trends in unmanned equipment confrontation. Background technique [0002] In the field of unmanned equipment confrontation cluster situation recognition, when identifying the formation and movement trend of a certain number of cluster targets, the amount of information is complex and huge, and it is far from enough to rely on human processing and analysis capabilities, so situation recognition is needed Method to realize formation and movement trend recognition for clusters. [0003] Most of the existing situation recognition methods focus on single target or small-scale multi-target situation recognition. When dealing with larger-scale cluster situation recognition problems, the performance is poor and the accuracy of situation recognition is low. Therefore, it is necessary to propose a method suitable for...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/62G06N3/04
Inventor 李玉庆江飞龙王日新冯小恩雷明佳黄胜全王瑞星徐敏强
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com