The algorithm for quadratic global optimization performed by a cellular neural network (CNN) with a slowly varying slope of the output characteristic (see References 1 and 2) is analysed. It is shown that the only CNN which ΓΏnds the global minimum of a quadratic function for any values of the input
β¦ LIBER β¦
An optimized synthesis of a discrete-time cellular neural network for parallel thinning
β Scribed by Chun-Ying Ho; Shinsaku Mori
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 810 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0098-9886
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