IEICE TRANSACTIONS on Fundamentals
State Controlled CNN: A New Strategy for Generating High Complex Dynamics
Summary :
In this paper, after the introduction of the definition of State Controlled Cellular Neural Networks (SC-CNNs), it is shown that they are able to generate complex dynamics of circuits showing strange behaviour. Theoretical propoitions are presented to fix the templates of the SC-CNNs in such a way as to exactly match the dynamic behaviour of the circuits considered. The easy and cheap implementation of the proposed SC-CNN devices is illustrated and a gallery of experimentally obtained strange attractors are shown to confirm the practical suitability of the outlined strategy.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E79-A No.10 pp.1647-1657
- Publication Date
- 1996/10/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Nonlinear Theory and its Applications (NOLTA))
- Category
- Neural Nets and Human Being
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Paolo ARENA, Salvatore BAGLIO, Luigi FORTUNA, Gabriele MANGANARO, "State Controlled CNN: A New Strategy for Generating High Complex Dynamics" in IEICE TRANSACTIONS on Fundamentals,
vol. E79-A, no. 10, pp. 1647-1657, October 1996, doi: .
Abstract: In this paper, after the introduction of the definition of State Controlled Cellular Neural Networks (SC-CNNs), it is shown that they are able to generate complex dynamics of circuits showing strange behaviour. Theoretical propoitions are presented to fix the templates of the SC-CNNs in such a way as to exactly match the dynamic behaviour of the circuits considered. The easy and cheap implementation of the proposed SC-CNN devices is illustrated and a gallery of experimentally obtained strange attractors are shown to confirm the practical suitability of the outlined strategy.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e79-a_10_1647/_p
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@ARTICLE{e79-a_10_1647,
author={Paolo ARENA, Salvatore BAGLIO, Luigi FORTUNA, Gabriele MANGANARO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={State Controlled CNN: A New Strategy for Generating High Complex Dynamics},
year={1996},
volume={E79-A},
number={10},
pages={1647-1657},
abstract={In this paper, after the introduction of the definition of State Controlled Cellular Neural Networks (SC-CNNs), it is shown that they are able to generate complex dynamics of circuits showing strange behaviour. Theoretical propoitions are presented to fix the templates of the SC-CNNs in such a way as to exactly match the dynamic behaviour of the circuits considered. The easy and cheap implementation of the proposed SC-CNN devices is illustrated and a gallery of experimentally obtained strange attractors are shown to confirm the practical suitability of the outlined strategy.},
keywords={},
doi={},
ISSN={},
month={October},}
Copy
TY - JOUR
TI - State Controlled CNN: A New Strategy for Generating High Complex Dynamics
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1647
EP - 1657
AU - Paolo ARENA
AU - Salvatore BAGLIO
AU - Luigi FORTUNA
AU - Gabriele MANGANARO
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E79-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1996
AB - In this paper, after the introduction of the definition of State Controlled Cellular Neural Networks (SC-CNNs), it is shown that they are able to generate complex dynamics of circuits showing strange behaviour. Theoretical propoitions are presented to fix the templates of the SC-CNNs in such a way as to exactly match the dynamic behaviour of the circuits considered. The easy and cheap implementation of the proposed SC-CNN devices is illustrated and a gallery of experimentally obtained strange attractors are shown to confirm the practical suitability of the outlined strategy.
ER -
English
