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30 October 1992 Perfectly retrievable unipolar optoelectronic neural associative memory
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Proceedings Volume 1812, Optical Computing and Neural Networks; (1992)
Event: International Symposium on Optoelectronics in Computers, Communications, and Control, 1992, Hsinchu, Taiwan
A perfectly convergent, unipolar, neural associative memory system based on nonlinear, dynamical terminal attractors is presented. By adaptively setting the threshold values for the dynamic iteration for the unipolar, binary neuron states with terminal-attractors, the achievement of perfect convergence and correct retrieval has been demonstrated via computer simulation. 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 an M/N ratio equals 4 (M: the number of stored vectors; and N: the number of neurons up to 256). An experiment with exclusive-or logic operation using LCTV SLMs is used to show the feasibility of an optoelectronic implementation of the model. The behavior of terminal attractors in basins of energy space is illustrated through examples.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chwan-Hwa Wu and Hua-Kuang Liu "Perfectly retrievable unipolar optoelectronic neural associative memory", Proc. SPIE 1812, Optical Computing and Neural Networks, (30 October 1992);

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