Enhanced storage capacity with errors in scale-free Hopfield neural networks: An analytical study
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چکیده
منابع مشابه
Enhanced storage capacity with errors in scale-free Hopfield neural networks: An analytical study
The Hopfield model is a pioneering neural network model with associative memory retrieval. The analytical solution of the model in mean field limit revealed that memories can be retrieved without any error up to a finite storage capacity of O(N), where N is the system size. Beyond the threshold, they are completely lost. Since the introduction of the Hopfield model, the theory of neural network...
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Associative memory is a dynamical system which has a number of stable states with a domain of attraction around them [1]. If the system starts at any state in the domain, it will converge to the locally stable state, which is called an attractor. In 1982, Hopfield [2] proposed a fully connected neural network model of associative memory in which patterns can be stored by distributed among neuro...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2017
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0184683