Phase transitions of an oscillator neural network with a standard Hebb learning rule
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چکیده
منابع مشابه
Phase Transitions of an Oscillator Neural Network with a Standard Hebb Learning Rule
Studies have been made on the phase transition phenomena of an oscillator network model based on a standard Hebb learning rule like the Hopfield model. The relative phase informations—the in-phase and anti-phase, can be embedded in the network. By self-consistent signal-to-noise analysis (SCSNA), it was found that the storage capacity is given by αc = 0.042, which is better than that of Cook’s ...
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ژورنال
عنوان ژورنال: Physical Review E
سال: 1998
ISSN: 1063-651X,1095-3787
DOI: 10.1103/physreve.58.4865