Auto associative memory is a type of neural network model that retrieves stored information based on partial or noisy input patterns. It operates by associating input patterns with corresponding output patterns, enabling the reconstruction of complete data from incomplete cues, thus mimicking certain aspects of human memory retrieval.
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Auto associative memory is a type of neural network model that retrieves stored information based on partial or noisy input patterns. It operates by associating input patterns with corresponding output patterns, enabling the reconstruction of complete data from incomplete cues, thus mimicking certain aspects of human memory retrieval.