By Topic

Using CNLS-net to predict the Mackey-Glass chaotic time 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

7 Author(s)
Mead, W.C. ; Div. of Appl. Theor. Phys., California Univ., NM, USA ; Jones, R.D. ; Lee, Y.C. ; Barnes, C.W.
more authors

The connectionist normalized local spline (CNLS) network is used to learn the dynamics of the Mackey-Glass (1977) time-delay differential equation, for the case τ=30. The authors show the optimum network operating mode and determine the accuracy and robustness of predictions. They obtain predictions of varying accuracy using some 2-120 minutes of execution time on a Sun SPRAC-1 workstation. CNLS-net is capable of very good performance in predicting the Mackey-Glass time series

Published in:

Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on  (Volume:ii )

Date of Conference:

8-14 Jul 1991