## Abstract Stable cellular neural networks with binary outputs implement a nonβlinear mapping between sets of input and output images. Such a mapping is studied in detail. We prove two theorems: the first one yields a sufficient condition in order that the nonβlinear mapping be wellβdefined; the s
β¦ LIBER β¦
Finding all stable equilibria of cellular neural networks
β Scribed by Iztok Fajfar; Franc Bratkovic
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 593 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0098-9886
No coin nor oath required. For personal study only.
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The cellular neural network is able to perform different image-processing tasks depending on the template values, i.e. the network parameters, used. In the case of linear templates the parameter space is divided into different regions by hyperplanes. Every region is associated with a task, such that