Boltzmann machines with clusters of stochastic binary units

作者：Teng Da; Li Zhang; Gong Guanghong; Han Liang

来源：International Journal of Modeling, Simulation, and Scientific Computing, 2016, 7(2): 1650018.

DOI：10.1142/S1793962316500185

<jats:p> The original restricted Boltzmann machines (RBMs) are extended by replacing the binary visible and hidden variables with clusters of binary units, and a new learning algorithm for training deep Boltzmann machine of this new variant is proposed. The sum of binary units of each cluster is approximated by a Gaussian distribution. Experiments demonstrate that the proposed Boltzmann machines can achieve good performance in the MNIST handwritten digital recognition task. </jats:p>

• 出版日期2016-6
• 单位云南大学