This special issue on CNN addresses three areas: theory, design, and applications. It is clear from the table of contents that most of the advances reported here are, explicitly or tacitly, influenced by the existence of the programmable CNN universal machine chips. A new programming discipline, the
DESIGN AND LEARNING WITH CELLULAR NEURAL NETWORKS
β Scribed by NOSSEK, JOSEF A.
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 752 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0098-9886
No coin nor oath required. For personal study only.
β¦ Synopsis
The template coefficients (weights) of a CNN which will give a desired performance, can either be found by design or by learning. 'By design' means that the desired function to be performed can be translated into a set of local dynamic rules, while 'by learning' is based exclusively on pairs of input and corresponding output signals, the relationship of which may be far too complicated for the explicit formulation of local rules. An overview of design and learning methods applicable to CNNs, which sometimes are not clearly distinguishable, will be given from an engineering point of view.
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