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Extracting Boolean rules from CA patterns.

Extracting Boolean rules from CA patterns. Research Abstract Details 

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  • Extracting Boolean rules from CA patterns. Abstract Text:

    y yangY Yang,s a billingsS A Billings,

    A multiobjective genetic algorithm (GA) is introduced to identify both the neighborhood and the rule set in the form of a parsimonious Boolean expression for both one- and two-dimensional cellular automata (CA). Simulation results illustrate that the new algorithm performs well even when the patterns are corrupted by static and dynamic noise.

    Extracting Boolean rules from CA patterns. Publishing Authors By Initials

    y yangY Yang,sa billingsSA Billings,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Extracting Boolean rules from CA patterns. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: IEEE transactions on systems, man, and cybernetics

    VOLUME: 30

    Page Numbers: 573-80

    Journal Abbreviation:

    ISSN: 1083-4419

    DAY: 6

    MONTH: 02

    YEAR: 2000

    Extracting Boolean rules from CA patterns. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9890044

    Extracting Boolean rules from CA patterns. Keywords Mesh Terms:

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    Chemical & Substance for Abstract: Extracting Boolean rules from CA patterns. Information

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    Grant and Affiliation Information for Extracting Boolean rules from CA patterns.

    AFFILIATION: Sheffield Univ.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: IEEE Trans Syst Man Cybern B C

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