Title
Multistability of Neural Networks With Mexican-Hat-Type Activation Functions.
Abstract
In this paper, we are concerned with a class of neural networks with Mexican-hat-type activation functions. Due to the different structure from neural networks with saturated activation functions, a set of new sufficient conditions are presented to study the multistability, including the total number of equilibrium points, their locations, and stability. Furthermore, the attraction basins of stabl...
Year
DOI
Venue
2012
10.1109/TNNLS.2012.2210732
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Indexes,Biological neural networks,Trajectory,Learning systems,Stability criteria
Nonlinear system,Control theory,Equilibrium point,Artificial intelligence,Multistability,Attraction,Artificial neural network,Trajectory,Manifold,Topology,Pattern recognition,Transfer function,Mathematics
Journal
Volume
Issue
ISSN
23
11
2162-237X
Citations 
PageRank 
References 
43
1.10
16
Authors
2
Name
Order
Citations
PageRank
Lili Wang126913.90
Tianping Chen23095250.77