DocumentCode
1547780
Title
Training of a feedforward multiple-valued neural network by error backpropagation with a multilevel threshold function
Author
Asari, Vijayan K.
Author_Institution
Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA
Volume
12
Issue
6
fYear
2001
fDate
11/1/2001 12:00:00 AM
Firstpage
1519
Lastpage
1521
Abstract
A technique for the training of multiple-valued neural networks based on a backpropagation learning algorithm employing a multilevel threshold function is proposed. The optimum threshold width of the multilevel function and the range of the learning parameter to be chosen for convergence are derived. Trials performed on a benchmark problem demonstrate the convergence of the network within the specified range of parameters
Keywords
backpropagation; convergence; feedforward neural nets; multilayer perceptrons; backpropagation learning algorithm; convergence; error backpropagation; feedforward multiple-valued neural network; learning parameter; multilevel threshold function; Artificial neural networks; Backpropagation algorithms; Biological system modeling; Convergence; Feedforward neural networks; Logic; Multi-layer neural network; Neural networks; Neurons; Pattern recognition;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.963789
Filename
963789
Link To Document