DocumentCode
3270715
Title
Convergence properties of backpropagation algorithm
Author
Prasanna, G.N.S.
Author_Institution
MIT, Cambridge, MA, USA
fYear
1989
fDate
0-0 1989
Abstract
Summary form only given, as follows. The author presents results regarding the convergence properties of the backpropagation algorithm for XOR circuits. Specifically, the behavior has been investigated in the presence of noise. As a performance metric, the author has determined the solution density as several parameters are varied. Some issues relating to asynchronous implementation as well as behavior in the presence of ambiguity are also briefly explored.<>
Keywords
learning systems; neural nets; XOR circuits; asynchronous implementation; backpropagation algorithm; convergence properties; solution density; Learning systems; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location
Washington, DC, USA
Type
conf
DOI
10.1109/IJCNN.1989.118527
Filename
118527
Link To Document