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Parallel Processing of Minimization Algorithm for Determination Finite Automata

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Book cover Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques (ICIC 2007)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2))

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Abstract

The minimization of finite Automata model is deeply analyzed, and a parallel algorithm of minimization based on distinguishable state table is proposed. The parallel processing of algorithm is described in detail with an example, and its feasibility is verified.

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References

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Author information

Authors and Affiliations

  1. Department of Computer, Jiangsu Polytechnic University, 213164 Changzhou, China

    Yu-Qiang Sun

  2. Department of Computer, Pingdingshan University, 467000 Pingdingshan, China

    Hai-Lian Lu

  3. College of computer &information technology, Henan normal University, 453007, Xinxiang, China

    Yu-Qiang Sun, Yu-Ping Li & Hai-Yan Wang

Authors
  1. Yu-Qiang Sun
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  2. Hai-Lian Lu
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  3. Yu-Ping Li
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  4. Hai-Yan Wang
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Editor information

De-Shuang Huang Laurent Heutte Marco Loog

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© 2007 Springer-Verlag Berlin Heidelberg

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Sun, YQ., Lu, HL., Li, YP., Wang, HY. (2007). Parallel Processing of Minimization Algorithm for Determination Finite Automata. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_9

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  • DOI: https://doi.org/10.1007/978-3-540-74282-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74281-4

  • Online ISBN: 978-3-540-74282-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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