Abstract | ||
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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 Wang | 1 | 269 | 13.90 |
Tianping Chen | 2 | 3095 | 250.77 |