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

Incremental learning of temporal sequences using state memory and a resource allocating network

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)
Konishi, Y. ; Dept. of Comput. Eng., Aizu Univ., Japan ; Fujii, R.H.

A network, which can learn temporal patterns incrementally, is proposed. The network uses: a) Gaussian functions to represent various output values and b) chunking to group similar patterns so that a compact network can be realized. The learning capacity limits of the network are evaluated for the worst case sequences. Learning of sequences can be performed using a simple one step algorithm.

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:4 )

Date of Conference:

25-29 July 2004

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.