A new sufficient condition for global robust stability of bidirectional associative memory neural networks with multiple time delays
โ Scribed by Neyir Ozcan; Sabri Arik
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 552 KB
- Volume
- 10
- Category
- Article
- ISSN
- 1468-1218
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๐ SIMILAR VOLUMES
## Abstract In this paper, without assuming the boundedness, monotonicity and differentiability of the activation functions, we present new conditions ensuring existence, uniqueness, and global asymptotical stability of the equilibrium point of bidirectional associative memory neural networks with
In this paper, the global robust stability is investigated for interval neural networks with multiple time-varying delays. The neural network contains time-invariant uncertain parameters whose values are unknown but bounded in given compact sets. Without assuming both the boundedness on the activati