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Transcript
Hopfield networks Developed by John Hopfield in 1982 Used to construct first neural chip, also useful in associative memories and various optimization problems It is an autoassociative fully interconnected single layer feedback networks. When this is operated under discrete line function it is called as discrete Hopfield network. The network takes input value as binary bipolar or unipolar values. The network have weights symmetrical as Wij=Wji and Wii=0 Architecture: consist of neurons with 2 outputs, one inverting and other non-inverting. Inverting output is fed back to the input of next neuron but not itself. Connections are excitatory if output of neuron is found to be same as of the input else inhibitory.
