This research concern with application of discrete Hopfield neural networks for recovering data. Using associative memories properties of discrete Hopfield neural networks we can store a set of data patterns as a memories. The basic concepts of using discrete Hopfield neural networks as associative memories is to interpret the system\u27s neurons evolution as a movement of input pattern toward the one stored pattern most resembling the input pattern. The result shows that the application could recover false data to its origin
