Hopfield Neural Networks with Unbounded Monotone Activation Functions
Author
Source
Advances in Artificial Neural Systems
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-31
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Abstract EN
For the Hopfield Neural Network problem we consider unbounded monotone nondecreasing activation functions.
We prove convergence to zero in an exponential manner provided that we start with sufficiently small initial data.
American Psychological Association (APA)
Tatar, Nasser-Eddine. 2012. Hopfield Neural Networks with Unbounded Monotone Activation Functions. Advances in Artificial Neural Systems،Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-481651
Modern Language Association (MLA)
Tatar, Nasser-Eddine. Hopfield Neural Networks with Unbounded Monotone Activation Functions. Advances in Artificial Neural Systems No. 2012 (2012), pp.1-5.
https://search.emarefa.net/detail/BIM-481651
American Medical Association (AMA)
Tatar, Nasser-Eddine. Hopfield Neural Networks with Unbounded Monotone Activation Functions. Advances in Artificial Neural Systems. 2012. Vol. 2012, no. 2012, pp.1-5.
https://search.emarefa.net/detail/BIM-481651
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481651
