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Journal Article
Artificial neural network in cosmic landscape
2017
Overview
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 application of artificial neural network could solve the problem based on the universal approximation theorem of the multilayer perceptron. A toy model in inflation with multiple light fields is investigated numerically as an example of such an application.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V,Springer Berlin,SpringerOpen
