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An associative memory based learning model is proposed which uses a short and long-term memory and a ranking mechanism to manage the transition of reference vectors between two memories. The memorizing process is similar to that in human memory. In addition, an optimization algorithm is used to adjust the reference vectors components as well as their(More)
Virtual memory was developed to automate the movement of program code and data between main memory and secondary storage to give the appearance of a single. This technique greatly simplified the programmer’s job, particularly when program code and data exceeded the main memory’s size. In modern operating system, secure file system can(More)
In this paper, fully parallel associative memory architecture with learning model is proposed. It uses a mixed digital-analog associative memory for reference pattern recognition and a learning model based on a short and long-term memory similar to that in human brain. In addition a ranking mechanism is used to manage the transition of reference vectors(More)
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