About: Artificial Neuron with Homeostatic Behaviour

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Artificial Neuron with Homeostatic Behaviour Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Homeostasis is a property of a system that regulates its internal environment in order to maintain stable conditions. It is typical for any for biological systems and therefore also for neural cell. This paper presents a way how to use the idea of homeostasis in the field of artificial neural networks. The artificial neuron is here considered as an information homeostat. The state of equilibrium means a situation when the level of computational utility reaches its maximum. This idea is based on the presumption that the neuron has two inputs: first, the output of the neurons in the previous layer through its dendrites, and secondly the part of its output signal that is returned from the folowing layer through its axon. The presented idea is inspired by the fact that the biological neuron can know which part of its output energy is accepted by other neurons. Several methods of the learning are presented. Homeostasis is a property of a system that regulates its internal environment in order to maintain stable conditions. It is typical for any for biological systems and therefore also for neural cell. This paper presents a way how to use the idea of homeostasis in the field of artificial neural networks. The artificial neuron is here considered as an information homeostat. The state of equilibrium means a situation when the level of computational utility reaches its maximum. This idea is based on the presumption that the neuron has two inputs: first, the output of the neurons in the previous layer through its dendrites, and secondly the part of its output signal that is returned from the folowing layer through its axon. The presented idea is inspired by the fact that the biological neuron can know which part of its output energy is accepted by other neurons. Several methods of the learning are presented. (en)
Title	Artificial Neuron with Homeostatic Behaviour Artificial Neuron with Homeostatic Behaviour (en)
skos:prefLabel	Artificial Neuron with Homeostatic Behaviour Artificial Neuron with Homeostatic Behaviour (en)
skos:notation	RIV/68407700:21260/10:00174740!RIV11-MSM-21260___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Růžek, Martin
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta dopravní
http://linked.open...dnocenehoVysledku	247794
http://linked.open...ai/riv/idVysledku	RIV/68407700:21260/10:00174740
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	model design; artificial neuron; homeostasis; network; model reduction (en)
http://linked.open.../riv/klicoveSlovo	homeostasis model reduction artificial neuron model design network
http://linked.open...ontrolniKodProRIV	[64B0DE773DC5]
http://linked.open...v/mistoKonaniAkce	Hasselt
http://linked.open...i/riv/mistoVydani	Ghent
http://linked.open...i/riv/nazevZdroje	The 2010 European Simulation and modelling conference
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Růžek, Martin Brandejský, Tomáš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-10-25 (xsd:date)
number of pages	3 (xsd:int)
http://purl.org/ne...btex#hasPublisher	EUROSIS - ETI
https://schema.org/isbn	978-90-77381-57-1
http://localhost/t...ganizacniJednotka	21260

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 85 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software