Some interlaced block-sequential modes of operation are introduced for discrete-time cellular neural networks (DTCNN), and the corresponding convergence conditions are investigated. It is proved that DTCNNs, under some block-sequential updating rules, result to be convergent when the feedback templa
On the convergence of discrete-time neural networks
β Scribed by Hubert Harrer; Zbigniew Galias; Josef A. Nossek
- Publisher
- John Wiley and Sons
- Year
- 1993
- Tongue
- English
- Weight
- 238 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0098-9886
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## Abstract The paper considers a general class of neural networks possessing discontinuous neuron activations and neuron interconnection matrices belonging to the class of __M__βmatrices or __H__βmatrices. A number of results are established on global __exponential__ convergence of the state and o