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Input window size and neural network predictors
(Institute of Electrical and Electronics Engineers (IEEE), 2000)
Neural network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results from dynamic systems theory are briefly ...
High performance associative memory models and symmetric connections
(2000)
Two existing high capacity training rules for the standard Hopfield architecture associative memory are examined. Both rules, based on the perceptron learning rule produce asymmetric weight matrices, for which the simple ...