In this paper, one approach is employed to investigate the existence and uniqueness of the equilibrium and the global attrsctivity of Hopfield neural network models. Without assuming the boundedness, monotonicity, and differentiability of the activation functions, by using M-matrix theory, Liapunov
Global analysis of planar neural networks
β Scribed by Fernanda Botelho; Valery A. Gaiko
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 125 KB
- Volume
- 64
- Category
- Article
- ISSN
- 0362-546X
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β¦ Synopsis
In this paper, the global qualitative analysis of cubic dynamical systems is established. These systems are used as learning models of planar neural networks.
π SIMILAR VOLUMES
The algorithm for quadratic global optimization performed by a cellular neural network (CNN) with a slowly varying slope of the output characteristic (see References 1 and 2) is analysed. It is shown that the only CNN which ΓΏnds the global minimum of a quadratic function for any values of the input
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