M. A. Akra

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Artificial neural networks have been studied for many years in the hope of achieving human-like performance in the fields of speech and image recognition. A great landmark in this field is the Hopfield Network. It is simple to implement, simple to analyze. However, it suffers from the existence of the so-called spurious states which tend to inundate the(More)
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