By Topic

Genetic algorithm based self-growing training for RBF neural networks

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
$33 $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)
Yunfei Bai ; Sch. of Electron. & Electr. Eng., Leeds Univ., UK ; L. Zhang

Presents a RBF self-growing algorithm for training the RBFNN. The GA is employed to assist the search for the optimal RBFNN structure. The output layer weights are trained using a RLMS scheme with a dynamic learning rate

Published in:

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:1 )

Date of Conference: