Cart (Loading....) | Create Account
Close category search window
 

Quantum Neural Network Algorithm Based on Multi-agent in Target Fusion Recognition System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhou Yan ; Dept. of Early Warning Surveillance Intell., Air Force Radar Acad., Wuhan, China ; Wu Xia

The paper presents the quantum neural network algorithm based on multi-agent in target fusion recognition system. Firstly, it discusses the distributed cooperation and solution synthesis in MAS and describes the design of target recognition system. In that, the key techniques of task cooperation, task distribution and solution synthesis based on information fusion are demonstrated. Then quantum neural network is introduced to the MAS, by synthesizing the infrared and radar features of target from the 2 heterogeneous recognition agents, the membership function value is calculated, and the fusion membership function value is gained by using multi-layer excitation function. According to the fusion data, the true target is found out. The experiment shows its satisfactory performance and effectiveness. So the solution presented by the authors is valuable for designing distributed fusion target recognition system under heterogeneous sensors and target characteristics being imitated each other.

Published in:

Computational and Information Sciences (ICCIS), 2010 International Conference on

Date of Conference:

17-19 Dec. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.