Restricted Boltzmann Machines for the Long Range Ising Models

Abstract

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.

13 pages,6 figures

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• Domain Wall Renormalization Group Analysis of 2-dimensional Ising Model
• Finite-Range Scaling Method to Analyze Systems with Infinite-Range Interactions
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