Artificial neural network in cosmic landscape

@article{Liu2017ArtificialNN,
  title={Artificial neural network in cosmic landscape},
  author={Junyu Liu},
  journal={Journal of High Energy Physics},
  year={2017},
  volume={2017},
  pages={1-19}
}
  • Junyu Liu
  • Published 2017
  • Physics
  • Journal of High Energy Physics
A bstractIn 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… Expand

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