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 \(\alpha\), temperature \(T\), and the tolerance...

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Veröffentlicht in:	arXiv.org 1993-06
Hauptverfasser:	Shimi, G M, Kim, D, Choi, M Y
Format:	Artikel
Sprache:	eng
Schlagworte:	Neural networks Storage capacity Temperature effects
Online-Zugang:	Volltext
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