By Topic

Logic Circuit Design by Neural NeTwork and PSO 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

6 Author(s)
Jen-Pin Yang ; Electr. Eng. Dept., I-Shou Univ., Dashu, Taiwan ; Chih-Kung Kung ; Fang-Tsung Liu ; Yu-Ju Chen
more authors

In this paper, a new logic circuit design technique by using neural network and particle swarm optimization (PSO) method is proposed. The neural network was used to substitute the logic unit and PSO algorithm was used to determine the possibility of connections among the logic units. By off-line gate-level samples, the simulation results clearly demonstrate the validity of this new technique. It could be taken as an alternative way for possible evolutionary hardware applications in the future.

Published in:

Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on

Date of Conference:

17-19 Sept. 2010