By Topic

Architecture design of artificial neural networks based on Box & Jenkins models for time series prediction

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

4 Author(s)
Diniz, H. ; Comput. Intelligence Lab., Sao Paulo Univ., Brazil ; de Andrade, L. ; de Carvalho, A. ; de Andrade, M.

This paper reports the results of a neural architecture design approach for time series prediction. This approach applies some concepts of the Box-Jenkins (1970) method for data preprocessing and network design. The data used to verify the performance of these approaches were stock market time series of the Brazilian telecommunication company TELEBRAS

Published in:

Computational Intelligence and Multimedia Applications, 1999. ICCIMA '99. Proceedings. Third International Conference on

Date of Conference: