In this paper we propose a generalization of the factorial discriminant analysis (FDA) to complex data structures named Symbolic Objects. We assume that the a priori classes are de"ned by an equal number of intention symbolic objects. The paper proposes a three-step discrimination procedure. Symboli
Equilibrium analysis of non-symmetric CNNs
β Scribed by Arik, Sabri; Tavsanoglu, Vedat
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 325 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0098-9886
No coin nor oath required. For personal study only.
β¦ Synopsis
Two useful results concerning the equilibrium analysis of non-symmetric cellular neural networks (CNNs) are presented. First a new sufficient condition ensuring the existence of a stable equilibrium point in the total saturation region is given. Then another condition which guarantees the uniqueness and global asymptotic stability of the equilibrium point is obtained.
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