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

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