Terminal attractor optical associative memory for pattern recognition

Xin Lin; Masahiko Mori; Junji Ohtsubo; Masanobu Watanabe

doi:10.1117/12.997584

28 June 1999 Terminal attractor optical associative memory for pattern recognition

Xin Lin, Masahiko Mori, Junji Ohtsubo, Masanobu Watanabe

Proceedings Volume 3864, Joint International Symposium on Optical Memory and Optical Data Storage 1999; 38641A (1999) https://doi.org/10.1117/12.997584
Event: Optical Data Storage, 1999, Kauai, HI, United States

Abstract

Optical associative memory for pattern recognition using the Hopfield model has the advantage of simplicity for its network structure. But further investigation reveals that the basins of the attractors for stored patterns are small in the Hopfield model and the recalling ability is not so great. Moreover, the memory capacity is low because there are many spurious states and oscillations in the network. In order to obviate the spurious states and low storage capacity in the Hopfield model, a type of attractor called a terminal attractor (TA), which represents singular solutions of a neural dynamic system, was introduced. These terminal attractors are characterized by having finite relaxation times, no spurious states, and infinite stability.

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Xin Lin, Masahiko Mori, Junji Ohtsubo, and Masanobu Watanabe "Terminal attractor optical associative memory for pattern recognition", Proc. SPIE 3864, Joint International Symposium on Optical Memory and Optical Data Storage 1999, 38641A (28 June 1999); https://doi.org/10.1117/12.997584

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KEYWORDS

Content addressable memory

Numerical simulations

Optical pattern recognition

Neurons

Dynamical systems

Control systems

CCD cameras

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