About: Training a Single Sigmoidal Neuron is Hard.

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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We first present a brief survey of hardness results for training feedforward neural networks. These results are then completed by the proof that the simplest architecture containing only a single neuron that applies a sigmoidal activation function sigma:R-->[alpha,beta], satisfying certain natural axioms, e.g. the standard (logistic) sigmoid or saturated-linear function, to the weighted sum of $n$ inputs is hard to train. In particular, the problem of finding the weights of such a unit that minimize... We first present a brief survey of hardness results for training feedforward neural networks. These results are then completed by the proof that the simplest architecture containing only a single neuron that applies a sigmoidal activation function sigma:R-->[alpha,beta], satisfying certain natural axioms, e.g. the standard (logistic) sigmoid or saturated-linear function, to the weighted sum of $n$ inputs is hard to train. In particular, the problem of finding the weights of such a unit that minimize... (en)
Title	Training a Single Sigmoidal Neuron is Hard. Training a Single Sigmoidal Neuron is Hard. (en)
skos:prefLabel	Training a Single Sigmoidal Neuron is Hard. Training a Single Sigmoidal Neuron is Hard. (en)
skos:notation	RIV/67985807:_____/02:06020147!RIV/2003/AV0/A06003/N
http://linked.open.../vavai/riv/strany	2709;2729
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(LN00A056), Z(AV0Z1030915)
http://linked.open...iv/cisloPeriodika	N/A
http://linked.open...vai/riv/dodaniDat	2003
http://linked.open...aciTvurceVysledku	Šíma, Jiří
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	667207
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/02:06020147
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	sigmoidal neuron; loading problem; NP-hardness (en)
http://linked.open.../riv/klicoveSlovo	NP-hardness loading problem sigmoidal neuron
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[56AA68048A7F]
http://linked.open...i/riv/nazevZdroje	Neural Computation
http://linked.open...in/vavai/riv/obor	BA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...ocetUcastnikuAkce	0 (xsd:int)
http://linked.open...nichUcastnikuAkce	0 (xsd:int)
http://linked.open...vavai/riv/projekt	Institute of Theoretical Computer Science (Center of Young Science)
http://linked.open...UplatneniVysledku	2002
http://linked.open...v/svazekPeriodika	14
http://linked.open...iv/tvurceVysledku	Šíma, Jiří
http://linked.open...n/vavai/riv/zamer	Nové informatické technologie - teoretické základy, metodologie, prostředky a aplikace
issn	0899-7667
number of pages	20 (xsd:int)

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