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- W2096606616 abstract "We consider an online string matching problem in which we find all the occurrences of a pattern of m characters in a text of n characters, where all the characters of the pattern are available before processing, while the characters of the text are input one after the other. We propose a space-time optimal parallel algorithm for this problem using a neural network approach, This algorithm uses m McCulloch-Pitts neurons connected as a linear array. It processes every input character of the text in one step and hence it requires at most n iteration steps." @default.
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- W2096606616 date "1998-01-01" @default.
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- W2096606616 title "Optimal neural network algorithm for on-line string matching" @default.
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- W2096606616 doi "https://doi.org/10.1109/3477.718523" @default.
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