Summary form only given. The author considers neural networks with N binary neurons and symmetric lth-order synaptic connections, in which m randomly chosen N-bit patterns are stored and retrieved with a small fraction delta of bit errors allowed. The analysis yields rigorous lower bounds for the maximum possible value of l factorial multiplied by alpha , the number of stored bits per distinct synapse: 0. 11 for l equals 2 (compared to 0. 29 as estimated by Hopfield and Amit et al. ), 0. 22 for l equals 3 and 0. 16 for l equals 4.
|Original language||English (US)|
|Number of pages||1|
|State||Published - Dec 1 1987|
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