A Hopfield network refers to a form of recurrent artificial neural network that was invented by John Hopfield (1982). These Hopfield nets are designed to function as content-addressable memory systems conjoined with binary threshold nodes. They usually converge at a local minimum. Hopfield networks are essentially designed to present a model that can be used in understanding of human memory. Being a physicist that he is, Hopfield illustrated that models of physical systems can be applied in solving computational problems.
Various different learning rules can be applied in storing of information in a human memory that has been named Continue reading...