Vidyasagar, M. (1993) Location and stability of the high-gain equilibria of nonlinear neural networks IEEE Transactions on Neural Networks, 4 (4). pp. 660-672. ISSN 1045-9227
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Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...
Related URL: http://dx.doi.org/10.1109/72.238320
Abstract
The author analyzes the number, location, and stability behavior of the equilibria of arbitrary nonlinear neural networks without resorting to energy arguments based on assumptions of symmetric interactions or no self-interactions. The class of networks studied consists of very general continuous-time continuous-state (CTCS) networks that contain the standard Hopfield network as a special case. The emphasis is on the case where the slopes of the sigmoidal nonlinearities become larger and larger.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| ID Code: | 56918 |
| Deposited On: | 25 Aug 2011 09:34 |
| Last Modified: | 25 Aug 2011 09:34 |
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