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Optimal neural network algorithm for on-line string matching

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3 Author(s)
Leung, Y.-W. ; Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon, Hong Kong ; Jiang-She Zhang ; Zong-Ben Xu

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

Published in:

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on  (Volume:28 ,  Issue: 5 )

Date of Publication:

Oct 1998

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