Unipolar terminal-attractor-based neural associative memory with adaptive threshold and perfect convergence

Chwan-Hwa Wu; Hua-Kuang Liu

doi:10.1117/12.195622

7 December 1994 Unipolar terminal-attractor-based neural associative memory with adaptive threshold and perfect convergence

Chwan-Hwa Wu, Hua-Kuang Liu

Author Affiliations +

Proceedings Volume 2430, Optical Memory & Neural Networks '94: Optical Neural Networks; (1994) https://doi.org/10.1117/12.195622
Event: Optical Memory and Neural Networks: International Conference, 1994, Moscow, Russian Federation

Abstract

Recently, a terminal attractor based associative memory (TABAM) with optical implementation techniques was published in Applied Optics (August 10, 1992). Herein perfect convergence and correct retrieval of the TABAM are demonstrated via computer simulation by adaptively setting the threshold values for the dynamic iteration for the unipolar binary neuron states using terminal-attractors and an inner-product approach. The simulations are completed by (1) exhaustive tests with all of the possible combinations of stored and test vectors in small- scale networks, and (2) Monte Carlo simulations with randomly generated stored and test vectors in large scale networks with a M/N ratio equals 4 (M: the number of stored vectors; and N: the number of neurons up to 256). The feasibility of optoelectronic implementation is discussed.

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Chwan-Hwa Wu and Hua-Kuang Liu "Unipolar terminal-attractor-based neural associative memory with adaptive threshold and perfect convergence", Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); https://doi.org/10.1117/12.195622

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