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

A multi-layered dynamic neural group method for characteristic patterns identification and prediction of complex event series

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

4 Author(s)
Xiang Li ; State Key Lab. of Robot., Chinese Acad. of Sci., Shenyang ; Yuechao Wang ; Hongyi Li ; Ning Xi

In this paper, a new method based on multi-layered dynamic neural group network for analyzing event series is introduced. By the embedded multiple parallel structures, the new method can identify the character patterns contained in the event series. Then, a selective evaluation strategy is applied to integrate the different pattern clusters and predict the event in the next step. The aim is to generate the complex dynamic behaviors about the controlled system. The fundamental concepts and framework of this method are explained in detail. The effectiveness of our approach is demonstrated on the Internet-based telerobot soccer system by simulation experiments. The results are compared to those based on static neural group network. It is showed that, the telerobot can produce the predictive behaviors with high accuracy under the control of multi-layered dynamic neural group network. The proposed method could properly increase the local-autonomy of telerobot and maintain the stability of system. The conclusions and future work are described in the end.

Published in:

Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on

Date of Conference:

22-25 Feb. 2009

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.