By Topic

The application of fuzzy set and neural network in system identification and classification

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)
Goh, K.B. ; Dept. of Civil Eng., Nat. Central Univ. ; Chiang, W.-L.

Outlines a new learning algorithm to deal with interval information for a feedforward neural network. From the concept of fuzzy sets and using the vertex method, a new backpropagation neural network, called virtual vertex backpropagation, VVBP, is presented. A dynamic tracing machine is introduced to overcome weight correction in the learning process. Two applications in simple system identification and pattern classification are presented to discuss the effectiveness of VVBP

Published in:

Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on

Date of Conference:

25-28 Apr 1993