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

Currency Recognition Modeling Research Based on BP Neural Network Improved by Gene Algorithm

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)
Cao Bu-Qing ; Key Lab. of Knowledge Manage. & Network-based Manuf., Hunan Univ. of Sci. & Technol., Xiangtan, China ; Liu Jian-xun

Both artificial neural networks and gene algorithm are a method that people imitates biological treatment pattern and gains the intelligence out of it in order to handle complicated problems. Based on uncertain network model structure and indeterminate initial weights and slow convergence speed for back propagation neural networks, this paper proposes that make use of gene algorithm to improve it in order to find the most suitable network connection weights and network structure, then form GA-BP model and apply it to currency recognition. The experiment indicates that GA-BP model shorten training time for Back Propagation Neural Networks and gain higher recognition speed and better recognition effect, thereby, it is preponderant for image recognition that make use of gene algorithm to improve back propagation neural networks.

Published in:

Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on  (Volume:2 )

Date of Conference:

22-24 Jan. 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.