The capacity of associative memories with malfunctioning neurons

Hopfield associative memories with alpha n malfunctioning neurons are considered. Using some facts from exchangeable events theory, the asymptotic storage capacity of such a network is derived as a function of the parameter alpha under stability and attractivity requirements. It is shown that the as...

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Veröffentlicht in:	IEEE transactions on neural networks 1993-07, Vol.4 (4), p.628-635
Hauptverfasser:	Shirazi, Mahdad Nouri, Shirazi, Mehdi Nouri, Maekawa, Sadao
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Associative memory Asymptotic stability Biological neural networks Computer networks Distributed computing Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Fault tolerance Humans Neural networks Neurons Robustness State-space methods
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