About: Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The paper introduces basic types of nonconventional artificial neural units, their notation and classification. The notation and classification of dynamic higher-order nonlinear neural units, time-delay dynamic neural units, and time-delay higher-order nonlinear neural units is introduced. Introduction into the simplified parallel of higher-order nonlinear aggregating function of artificial nonconventional neural units and synaptic and somatic operation of biological neurons is made. Based on simplified mathematical notation, it is proposed that nonlinear aggregating function of neural inputs should be understood as composition of synaptic and partial somatic neural operation also for static neural units. It unravels novel yet universal insight into understanding computationally powerful neurons. The classification of nonconventional artificial neural units is founded according to nonlinearity of aggregating function, the dynamic order, and time-delay implementation in neural units. The paper introduces basic types of nonconventional artificial neural units, their notation and classification. The notation and classification of dynamic higher-order nonlinear neural units, time-delay dynamic neural units, and time-delay higher-order nonlinear neural units is introduced. Introduction into the simplified parallel of higher-order nonlinear aggregating function of artificial nonconventional neural units and synaptic and somatic operation of biological neurons is made. Based on simplified mathematical notation, it is proposed that nonlinear aggregating function of neural inputs should be understood as composition of synaptic and partial somatic neural operation also for static neural units. It unravels novel yet universal insight into understanding computationally powerful neurons. The classification of nonconventional artificial neural units is founded according to nonlinearity of aggregating function, the dynamic order, and time-delay implementation in neural units. (en)
Title	Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units (en)
skos:prefLabel	Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units (en)
skos:notation	RIV/68407700:21220/07:00133313!RIV11-MSM-21220___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(2B06023)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Bíla, Jiří Bukovský, Ivo
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 strojní
http://linked.open...dnocenehoVysledku	422453
http://linked.open...ai/riv/idVysledku	RIV/68407700:21220/07:00133313
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	adaptation; classification; nonconventional artificial neural unit; nonlinear aggregating function; notation; synaptic junction; time delay (en)
http://linked.open.../riv/klicoveSlovo	adaptation classification notation time delay nonconventional artificial neural unit nonlinear aggregating function synaptic junction
http://linked.open...ontrolniKodProRIV	[C86E5D20E0C4]
http://linked.open...v/mistoKonaniAkce	Lake Tahoe, CA
http://linked.open...i/riv/mistoVydani	California
http://linked.open...i/riv/nazevZdroje	Cognitive Informatics, 6th IEEE International Conference on
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Development of a method for estimation of energy and matter fluxes in selected ecosystems; formulation and verification of principles for evaluation of conditions supporting selfregulation and biodiversity.
http://linked.open...UplatneniVysledku	2007
http://linked.open...iv/tvurceVysledku	Bíla, Jiří Bukovský, Ivo Hou, Z.-G. Gupta, M. M. G.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000250542300051
http://linked.open.../riv/zahajeniAkce	2007-08-06 (xsd:date)
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE CS Press
https://schema.org/isbn	978-1-4244-1327-0
http://localhost/t...ganizacniJednotka	21220

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