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Hopfield recurrent neural networks

In 1982, physicist John J. Hopfield published a fundamental article in which a mathematical model commonly known as the Hopfield network was introduced. This network highlighted new computational capabilities deriving from the collective behavior of a large number of simple processing elements. A Hopfield Network is a form of recurrent ANN.

According to Hopfield every physical system can be considered as a potential memory device if it has a certain number of stable states, which act as an attractor for the system itself. On the basis of this consideration, he formulated the thesis that the stability and placement of such attractors represented spontaneous properties of systems consisting of considerable ...