1 January 1987 Optical Implementations In Boltzmann Machines
Anthony J. Ticknor, Harrison H. Barrett
Author Affiliations +
Abstract
Boltzmann machines can be used to obtain solutions to problems for which direct mathematical calculation of a solution is not possible or would take too long. The range of problems for which such a machine might be useful is very broad, and inversion of a linear equation is described as one example. A method is described that allows time-intensive operations on a computer to be replaced with a highly parallel optical system that can be incorporated in such a way as to let the computer take full advantage of the speed of the optics without sacrificing the precision possible in the computer. A tie is made between Boltzmann machines and neural networks, and it is shown how a Boltzmann machine may perform functions demonstrated by other neural network architectures.
Anthony J. Ticknor and Harrison H. Barrett "Optical Implementations In Boltzmann Machines," Optical Engineering 26(1), 260116 (1 January 1987). https://doi.org/10.1117/12.7974015
Published: 1 January 1987
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CITATIONS
Cited by 19 scholarly publications.
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KEYWORDS
Neural networks

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