2012
DOI: 10.1002/cta.1797
|View full text |Cite
|
Sign up to set email alerts
|

A study on semiflows generated by cooperative full‐range CNNs

Abstract: The paper considers the full-range (FR) model of cellular neural networks (CNNs) characterized by ideal hard-limiter nonlinearities with two vertical segments in the current–voltage characteristic. It is shown that when the FRCNNs are cooperative, i.e., there are excitatory interconnections between distinct neurons, the generated solution semiflow is monotone and that monotonicity implies some fundamental restrictions on the geometry of omega-limit sets. The result on monotonicity is a generalization to the cl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
9
0

Year Published

2012
2012
2018
2018

Publication Types

Select...
3
1

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(9 citation statements)
references
References 39 publications
0
9
0
Order By: Relevance
“…Theorem 1 can also be considered as an extension to the delayed case of a recent result on monotonicity of semiflows generated by cooperative FRCNNs without delays [25]. 2) Theorem 1 establishes monotonicity of the semiflow under the assumption of a cooperative interconnection matrix A and delayed interconnection matrix A τ of the D-FRCNNs.…”
Section: Monotonicity Of Semiflowmentioning
confidence: 90%
See 1 more Smart Citation
“…Theorem 1 can also be considered as an extension to the delayed case of a recent result on monotonicity of semiflows generated by cooperative FRCNNs without delays [25]. 2) Theorem 1 establishes monotonicity of the semiflow under the assumption of a cooperative interconnection matrix A and delayed interconnection matrix A τ of the D-FRCNNs.…”
Section: Monotonicity Of Semiflowmentioning
confidence: 90%
“…2) Theorem 1 establishes monotonicity of the semiflow under the assumption of a cooperative interconnection matrix A and delayed interconnection matrix A τ of the D-FRCNNs. It can be shown, by means of counterexamples analogous to those in [25] for FRCNNs, that there are D-FRCNNs with irreducible A and A τ for which the semiflow of D-FRCNNs is not ESM nor SOP (cf. Sect.…”
Section: Monotonicity Of Semiflowmentioning
confidence: 95%
“…A solution , , of the DVI ( 2) is an absolutely continuous function on any compact interval in such that for any and for almost all (a.a.) . It has been shown in [29] that, given any , there exists a unique solution , , of the DVI (2) with initial condition . Moreover, , , is a solution of (2) if and only if it satisfies the projected differential equation (3) It is also shown in [29] that there is at least an EP of (2).…”
Section: Neural Network Modelmentioning
confidence: 99%
“…It has been shown in [29] that, given any , there exists a unique solution , , of the DVI (2) with initial condition . Moreover, , , is a solution of (2) if and only if it satisfies the projected differential equation (3) It is also shown in [29] that there is at least an EP of (2). We denote by the set of EPs of (2).…”
Section: Neural Network Modelmentioning
confidence: 99%
See 1 more Smart Citation