Sparsely Interconnected Neural Networks for Associative Memories Applying Discrete Walsh Transform
نویسندگان
چکیده
The conventional synthesis procedure of discrete time sparsely interconnected neural networks (DTSINNs) for associative memories may generate the cells with only selffeedback due to the sparsely interconnected structure. Although this problem is solved by increasing the number of interconnections, hardware implementation becomes very difficult. In this letter, we propose the DTSINN system which stores the 2dimensional discrete Walsh transforms (DWTs) of memory patterns. As each element of DWT involves the information of whole sample data, our system can associate the desired memory patterns, which the conventional DTSINN fails to do. key words: sparsely interconnected neural network, associative memory, 2-dimensional discrete Walsh transform, isolated cells problem
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