674 research outputs found
Artificial Neural Network in Cosmic Landscape
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.Comment: v2, add some new content
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