Paper
1 November 1991 Optical implementation of associative memory based on parallel rank-one interconnections
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Abstract
In this paper, an optical implementation of an associative memory based on parallel rank-one interconnections and time integration is proposed and experimental results are demonstrated. Optical parallel rank-one interconnections based on singular value decomposition and time-integration are useful in implementing real-time, programmable, and adaptable neural networks with arbitrary order. Input patterns can have the same size as the outer-product memory matrix at the expense of time usage proportional to the dimensionality of the input pattern. Computer simulation results are given to show that this time usage can be reduced by using singular value decomposition and principal components analysis, without substantial degradation of the performance of the system. This consequently allows efficient utilization of the spatial parallelism that optical systems can offer.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ho-In Jeon, Mustafa A. G. Abushagur, and H. John Caulfield "Optical implementation of associative memory based on parallel rank-one interconnections", Proc. SPIE 1564, Optical Information Processing Systems and Architectures III, (1 November 1991); https://doi.org/10.1117/12.49739
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KEYWORDS
Neural networks

Computing systems

Imaging systems

Optical signal processing

Computer simulations

Glasses

Integrated optics

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