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- W2086145598 abstract "A simple analysis and a numerical calculation show that the ability to retrieve information from the Hopfield network is enhanced when thermal noise is introduced. It is also shown that the best efficiency of the neural network is achieved in the range of temperatures ${T}_{1}$${T}_{2}$, where ${T}_{1}$ corresponds to the noise necessary to eliminate spurious memories and ${T}_{2}$ to the temperature at which the memorized states are no longer stable." @default.
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- W2086145598 title "Memory melting in neural networks" @default.
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- W2086145598 doi "https://doi.org/10.1103/physreva.39.4303" @default.
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