Cellular neural networks for image processing tasks

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Cellular neural networks for image processing tasks

Popis výsledku v původním jazyce

Cellular neural networks (CNNs) are similar to artificial neural networks (ANNs) in that they are composed of many distributed processing elements, called ?cells?, which are connected in a network. CNNs were designed to operate in a two-dimensional grid,where each processing element (cell) is connected to neighboring cells in the grid. CNNs have been shown to be an adept at image processing tasks. Specifically, CNN cells maintain a state which evolves through time due to differential equations dependent on the cell's inputs and feedback. This article introduces software for graphics processing units (GPUs) by abstracting the hardware as arrays of configurable CNNs cells. Introducing an efficient CNN-based abstraction of GPU computation should encourage the study of massively parallel computation using tools and methods of dynamic systems theory and abstract automata theory.

Název v anglickém jazyce

Cellular neural networks for image processing tasks

Popis výsledku anglicky

Cellular neural networks (CNNs) are similar to artificial neural networks (ANNs) in that they are composed of many distributed processing elements, called ?cells?, which are connected in a network. CNNs were designed to operate in a two-dimensional grid,where each processing element (cell) is connected to neighboring cells in the grid. CNNs have been shown to be an adept at image processing tasks. Specifically, CNN cells maintain a state which evolves through time due to differential equations dependent on the cell's inputs and feedback. This article introduces software for graphics processing units (GPUs) by abstracting the hardware as arrays of configurable CNNs cells. Introducing an efficient CNN-based abstraction of GPU computation should encourage the study of massively parallel computation using tools and methods of dynamic systems theory and abstract automata theory.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Mendel 2010

ISBN

978-80-214-4120-0

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

Brno Univerzity of Technology

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

23. 6. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000288144100042