Abstract

One of the major problems with conventional associative memory models is that there exists a set of stable false and oscillatory states in addition to the true memories in the models. To solve this problem, a combined associative memory model is proposed. Digital simulation results show that the model is capable of picking out the false memories generated by conventional models and is more reliable in comparison with the conventional models.

© 1990 Optical Society of America

Optoelectronic chip implementation of a quadratic associative memory

A. Von Lehmen, E. G. Paek, L. C. Carrion, J. S. Patel, and A. Marrakchi
Opt. Lett. 15(5) 279-281 (1990)

Evaluation and improvement of associative memory for pattern recognition

Junichi Homma, Yukio Kosugi, and Takuso Sato
Appl. Opt. 29(11) 1675-1681 (1990)

Experimental studies on learning capabilities of optical associative memory

Masatoshi Ishikawa, Naohisa Mukohzaka, Haruyoshi Toyoda, and Yoshiji Suzuki
Appl. Opt. 29(2) 289-295 (1990)

Optical implementation of a quadratic associative memory by using the polarization-encoding process

Seok Ho Song, Sin-Chong Park, and Sang Soo Lee
Opt. Lett. 15(23) 1389-1391 (1990)

Projection method formulations of Hopfield-type associative memory neural networks

M. Ibrahim Sezan, Henry Stark, and Shu-Jen Yeh
Appl. Opt. 29(17) 2616-2622 (1990)