Modification to the Hopfield associative memory model

The content addressable associative memory based on the Hopfield neural network model can be used directly to store and retrieve information with robustness and error correction capability. The Hopfield associative memory can successfully recall data stored only when the stored data satisfy some stringent conditions. To overcome these limitations of the Hopfield model, some modifications have been proposed. In this paper we analyze a limitation of the Hopfield model, present a modification of the Hopfield model, and at last give its numerical simulation.