Optimal storage capacity of neural networks at finite temperatures
نویسندگان
چکیده
منابع مشابه
Optimal storage capacity of neural networks at finite temperatures
Gardner's analysis of the optimal storage capacity of neural networks is extended to study finite-temperature effects. The typical volume of the space of interactions is calculated for strongly-diluted networks as a function of the storage ratio α, temperature T , and the tolerance parameter m, from which the optimal storage capacity α c is obtained as a function of T and m. At zero temperature...
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ژورنال
عنوان ژورنال: Journal of Physics A: Mathematical and General
سال: 1993
ISSN: 0305-4470,1361-6447
DOI: 10.1088/0305-4470/26/15/024