DocumentCode
315202
Title
Non-monotone network dynamics; preliminary results
Author
Trappenberg, Thomas
Author_Institution
Canadian Complexity Centre, Hammonds Plains, NS, Canada
Volume
2
fYear
1997
fDate
9-12 Jun 1997
Firstpage
821
Abstract
Recurrent neural networks with nonmonotone transfer functions have the interesting feature that they do not settle into a state if the start configuration is too far from the stored patterns. Instead, the network shows strong fluctuations. A first attempt to analyze the nature of this mode is made
Keywords
nonmonotonic reasoning; recurrent neural nets; transfer functions; nonmonotone network dynamics; nonmonotone transfer functions; recurrent neural networks; start configuration; stored patterns; Artificial neural networks; Boolean functions; Chaos; Electronic mail; Fluctuations; Nonhomogeneous media; Psychology; Recurrent neural networks; Stochastic processes; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.616129
Filename
616129
Link To Document