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Update thresholds and high capacity associative memories.
(2006)
It has been found that the performance of an associative memory model trained with the perceptron learning rule can be improved by increasing the learning threshold. When the learning threshold increases, the range of ...
Gaussian and Exponential Architectures in Small-World Associative Memories
(2006)
The performance of sparsely-connected associative memory models built from a set of perceptrons is investigated using different patterns of connectivity. Architectures based on Gaussian and exponential distributions are ...
Evolved patterns of connectivity in associative memory models
(Institute of Electrical and Electronics Engineers (IEEE), 2006)