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https://doi.org/10.2991/icsem....
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Advanced Materials Research
Article . 2013 . Peer-reviewed
License: Trans Tech Publications Copyright and Content Usage Policy
Data sources: Crossref
https://doi.org/10.2991/icsem....
Article . 2013 . Peer-reviewed
Data sources: Crossref
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Analyzing of dynamic characteristics for discrete S-PCNN

Authors: Ren Can Nie; Shao Wen Yao; Dong Ming Zhou; Hai Ying Deng;

Analyzing of dynamic characteristics for discrete S-PCNN

Abstract

Pulse Coupled Neutral Network (PCNN) is a new artificial neural network with biological mechanism, and has been widely applied in many areas such as image processing and so on, but its dynamic characteristics have not been analyzed effectively. In this paper, the dynamic characteristics about pulse period, refractory period and capture period in a simplified PCNN are discussed by mathematical analysis. Simulation results verify the correctness of the analysis conclusions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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