Anthony J. Ticknor, Harrison Barrett

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)16-21
Number of pages6
JournalOptical Engineering
Issue number1
StatePublished - 1987

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)


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