In this paper a synthesis procedure for heteroassociative memories using Cellular Neural Networks (CNNs) is presented. The suggested method, by assuring the condition of symmetry of the interconnection matrix, guarantees the complete stability of the designed network, besides providing that all the
Generation ofn-double scrolls via cellular neural networks
โ Scribed by Arena, P.; Baglio, S.; Fortuna, L.; Manganaro, G.
- Book ID
- 102648052
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 647 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0098-9886
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โฆ Synopsis
N-double scrolls are chaotic attractors generated by Chua's circuit when its non-linear resistor characteristic is appropriately modified. They have recently been introduced, simulated and studied analytically by Suykens and Vandewalle. In this paper a new approach to generate n-double scroll attractors is introduced. They have been derived from a connection of three simple generalized cellular neural network cells called a state controlled CNN (SC-CNN). In this way it is established that n-double scroll attractors can be generated using an SC-CNN. The circuit implementation of the introduced system and some experimental results referring to the 2-double scroll attractor are reported.
๐ SIMILAR VOLUMES
In this paper is presented the use of the discrete-time cellular neural network (DTCNN) paradigm to develop algorithms devised for general-purpose massively parallel processing (MPP) systems. This paradigm is defined in discrete N-dimensional spaces (lattices) and is characterized by the locality of