Tunable Stochastic Memristive Device for Simulated Annealing in Boltzmann Machine Designed by a Machine Learning Method

Tong Wu
Tong Wu
Huan Zhao
Huan Zhao
Fanxin Liu
Fanxin Liu

arXiv: Emerging Technologies, 2019.

Cited by: 0|Bibtex|Views0
Other Links: academic.microsoft.com|arxiv.org

Abstract:

A Boltzmann machine whose effective "temperature" can be dynamically "cooled" provides a stochastic neural network realization of simulated annealing, which is an important metaheuristic for solving combinatorial or global optimization problems with broad applications in machine intelligence and operations research. However, the hardwar...More

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