Name
Abstract | ||
|---|---|---|
This paper is concerned with the stability of the impulsive bidirectional associative memory (BAM) neural networks with time delays. By means of Lyapunov function and analysis technique, sufficient conditions are obtained for the existence and uniformly stability of a unique equilibrium solution without assuming the activation function to be bounded, monotonic or differentiable. This stability property is independent of the stability behavior of continuous-time BAM model since the impulses do contribution to system's uniformly stability |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISDA.2006.275 | ISDA (1) |
Keywords | Field | DocType |
neural network,uniformly stability,time delay,stability behavior,analysis technique,stability property,lyapunov function,impulsive bam neural networks,delays,continuous-time bam model,sufficient condition,activation function,system uniform stability,content-addressable storage,stability,lyapunov methods,neural nets,impulsive bidirectional associative memory,continuoustime bam model,bidirectional associative memory | Lyapunov function,Monotonic function,Bidirectional associative memory,Computer science,Control theory,Activation function,Differentiable function,Content-addressable storage,Artificial neural network,Bounded function | Conference |
Volume | ISBN | Citations |
1 | 0-7695-2528-8 | 3 |
PageRank | References | Authors |
0.52 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fengjian Yang | 1 | 33 | 5.60 |
| Chaolong Zhang | 2 | 65 | 15.03 |
| Dongqing Wu | 3 | 31 | 5.50 |
| Xiao-jian Hu | 4 | 12 | 1.14 |