Thermodynamics of the Ising model encoded in restricted Boltzmann machines
The restricted Boltzmann machine (RBM) is a two-layer energy-based model that uses its
hidden–visible connections to learn the underlying distribution of visible units, whose …
hidden–visible connections to learn the underlying distribution of visible units, whose …
The Capabilities of Boltzmann Machines to Detect and Reconstruct Ising System's Configurations from a Given Temperature
MA Valle - Entropy, 2023 - mdpi.com
The restricted Boltzmann machine (RBM) is a generative neural network that can learn in an
unsupervised way. This machine has been proven to help understand complex systems …
unsupervised way. This machine has been proven to help understand complex systems …
Feature extraction of machine learning and phase transition point of Ising model
SS Funai - arXiv preprint arXiv:2111.11166, 2021 - arxiv.org
We study the features extracted by the Restricted Boltzmann Machine (RBM) when it is
trained with spin configurations of Ising model at various temperatures. Using the trained …
trained with spin configurations of Ising model at various temperatures. Using the trained …