Paper
19 August 1993 Two new classes of Boltzmann machines
Ying Liu
Author Affiliations +
Abstract
Two new classes of Boltzmann machines will be introduced in this paper. They are called Probabilistic Boltzmann Machine (PBM) and Automata Boltzmann Machine (ABM) by the author. The ABM is further divided into union ABM, intersection ABM, and mixed ABM. The motivation of this development is to enhance the capability of the Boltzmann machine family. These two new classes of machines are derived by combining the automata neural network developed by the author, the stochastic neural network developed by the author, and the Boltzmann machine.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ying Liu "Two new classes of Boltzmann machines", Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); https://doi.org/10.1117/12.152648
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KEYWORDS
Neurons

Neural networks

Artificial neural networks

Stochastic processes

Brain mapping

Matrices

Binary data

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