Name
Title | ||
|---|---|---|
Coexistence and Local Exponential Stability of Multiple Equilibria in Memristive Neural Networks with a Class of General Nonmonotonic Activation Functions. |
Abstract | ||
|---|---|---|
This paper addresses the multistability problem of n-dimensional memristive neural networks with a class of general nonmonotonic activation functions. Sufficient conditions are proposed for checking the existence of (2l + 3)(n) equilibria, of which (l + 2)(n) equilibria are locally exponentially stable. The obtained stability results improve and extend the existing ones. One numerical example is given to illustrate the effectiveness of the obtained results. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-59072-1_42 | ADVANCES IN NEURAL NETWORKS, PT I |
Keywords | Field | DocType |
Memristive neural network,Coexistence,Local exponential stability,General nonmonotonic activation function | Exponential stability,Artificial intelligence,Multistability,Artificial neural network,Mathematics,Machine learning | Conference |
Volume | ISSN | Citations |
10261 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yujiao Huang | 1 | 1 | 1.03 |
| Shijun Chen | 2 | 0 | 0.34 |
| Jie Xiao | 3 | 10 | 10.17 |
| Pengyi Hao | 4 | 0 | 0.68 |