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Dataset . 2019
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Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Dataset . 2019
License: CC BY
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Dataset . 2019
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Dataset . 2019
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2019
Data sources: Datacite
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Claim

Data amostra do treinamento de uma rede multicamada para a aproximação de funções

Research datakeyboard_double_arrow_right Dataset 08 Oct 2019 Portuguese Publisher:Zenodo
Authors: Melendez, Jose;

doi: 10.5281/zenodo.3477640 , 10.5281/zenodo.3477641 , 10.5281/zenodo.3477643 , 10.5281/zenodo.3477639 , 10.5281/zenodo.3477642

Data amostra do treinamento de uma rede multicamada para a aproximação de funções

Abstract

Conjunto de dados que inclui uma amostra dos pesos de treinamento de uma rede neural perceptron multicamada para aproximação de funções. Epoca: quantitativo discreto - define o número de vezes que todo o conjunto de dados de entrada entra na rede durante o treinamento. XiHj: quantitativo continuo - peso entre o neurônio Xi da camada de entrada e o neuônio Hi da camada oculta HjY1: quantitativo continuo - peso entre o neurônio Hi da camada oculta e o neuônio Y1 da camada de saída.

Keywords

rede multicamada, interpretabilidade, aproximação de funções, rede neural

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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visibility
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
7