Name
Title | ||
|---|---|---|
Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching. |
Abstract | ||
|---|---|---|
This paper is concerned with the multistability of switched neural networks with piecewise linear activation functions under state-dependent switching. Under some reasonable assumptions on the switching threshold and activation functions, by using the state-space decomposition method, contraction mapping theorem, and strictly diagonally dominant matrix theory, we can characterize the number of equ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TNNLS.2018.2876711 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Switches,Neural networks,Switched systems,Associative memory,Mathematical model,Learning systems,Matrix decomposition | Topology,Contraction mapping,Pattern recognition,Matrix (mathematics),Computer science,Matrix decomposition,Equilibrium point,Diagonally dominant matrix,Artificial intelligence,Multistability,Artificial neural network,Piecewise linear function | Journal |
Volume | Issue | ISSN |
30 | 7 | 2162-237X |
Citations | PageRank | References |
7 | 0.40 | 28 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenyuan Guo | 1 | 89 | 8.75 |
| Linlin Liu | 2 | 14 | 0.81 |
| Jun Wang | 3 | 9228 | 736.82 |