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Restricted Boltzmann Machines for the Long Range Ising Models

We set up Restricted Boltzmann Machines (RBM) to reproduce the Long Range Ising (LRI) models of the Ohmic type in one dimension. The RBM parameters are tuned by using the standard machine learning procedure with an additional method of Configuration with Probability (CwP). The quality of resultant RBM are evaluated through the susceptibility with respect to the magnetic external field. We compare the results with those by Block Decimation Renormalization Group (BDRG) method, and our RBM clear the test with satisfactory precision.

preprint2017arXivOpen access
Ken-Ichi AokiTamao Kobayashi
cond-mat.stat-mech
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Open access2 authors1 topic
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
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Ken-Ichi AokiTamao Kobayashi

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