In this paper, the global asymptotic stability of Hopfield neural networks with delays is investigated. Distinct differences from other analytical approaches lie in transforming to an equivalent system by using a parameterized transformation which allows free variables in an operator. A novel, less
β¦ LIBER β¦
Global asymptotic stability conditions of delayed neural networks
β Scribed by Zhou Dong-ming; Cao Jin-de; Zhang Li-ming
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Weight
- 453 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0253-4827
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