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

A parallel and modular multi-sieving neural network architecture for constructive learning

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 $31
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)
Lu, B.-L. ; Inst. of Phys. & Chem. Res., Saitama, Japan ; Ito, K. ; Kita, H. ; Nishikawa, Y.

Presents a parallel and modular multi-sieving neural network (PMSN) architecture for constructive learning. This PMSN architecture is different from existing constructive learning networks such as the cascade correlation architecture. The constructing element of the PMSNs is a compound modular network rather than a hidden unit. This compound modular network is called a sieving module (SM). In the PMSN, a complex learning task is decomposed into a set of relatively simple subtasks automatically. Each of these subtasks is solved by a corresponding individual SM and all of these SMs are processed in parallel

Published in:

Artificial Neural Networks, 1995., Fourth International Conference on

Date of Conference:

26-28 Jun 1995

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.