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arXiv · 1707.02800

Artificial Neural Network in Cosmic Landscape

Junyu Liu
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Abstract

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.

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hep-thastro-ph.COcs.AIcs.LGgr-qc

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Junyu Liu. 2017-07-10. Artificial Neural Network in Cosmic Landscape. https://doi.org/10.1007/jhep12(2017)149

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