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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yen, G.G. |
| Copyright Year | 1994 |
| Description | Author affiliation: USAF Philips Lab., Kirtland AFB, NM, USA (Yen, G.G.) |
| Abstract | Investigates the qualitative properties of a class of bidirectional associative memories. Networks are described by a system of first order ordinary difference equations which are defined on a closed hypercube of the state space with solutions extended to the boundary of the hypercube. For the present model, a systematic analysis method is developed to completely characterize a given network, i.e., the distribution of equilibria in the state space, and the stability properties of the equilibrium points. In addition, the authors establish a computationally efficient synthesis procedure utilizing the eigenstructure decomposition method. The applicability of the present results is demonstrated by means of a specific application in flexible structures.<> |
| Starting Page | 507 |
| Ending Page | 510 |
| File Size | 312332 |
| Page Count | 4 |
| File Format | |
| ISBN | 078031865X |
| DOI | 10.1109/SIPNN.1994.344863 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-04-13 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Associative memory Neural networks Neurons Hypercubes Stability analysis Network synthesis State-space methods Structural engineering Magnesium compounds Equations |
| Content Type | Text |
| Resource Type | Article |
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