Artificial neural network in cosmic landscape
Artificial neural network in cosmic landscape
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Berlin/Heidelberg: Springer Berlin Heidelberg
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English
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Berlin/Heidelberg: Springer Berlin Heidelberg
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A
bstract
In this paper we propose that artificial neural network, the basis of machine learning, is useful to generate the inflationary landscape from a cosmological point of view. Traditional numerical simulations of a global cosmic landscape typically need an exponential complexity when the number of fields is large. However, a basic appli...
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Artificial neural network in cosmic landscape
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TN_cdi_doaj_primary_oai_doaj_org_article_3f3a5a77cde54b308894b067c91152b1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3f3a5a77cde54b308894b067c91152b1
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ISSN
1029-8479
E-ISSN
1029-8479
DOI
10.1007/JHEP12(2017)149
