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Generating and coding of fractal graphs by neural network and mathematical morphology methods.

Generating and coding of fractal graphs by neural network and mathematical morphology methods. Research Abstract Details 

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  • Generating and coding of fractal graphs by neural network and mathematical morphology methods. Abstract Text:

    l zhangL Zhang,b zhangB Zhang,g chenG Chen,

    We present an algorithm for generating a class of self-similar (fractal) graphs using simple probabilistic logic neuron networks and show that the graphs can be represented by a set of compressed encoding. An algorithm for quickly finding the coding, i.e., recognizing the corresponding graphs, is given and the coding are shown to be optimal (i.e., of minimal length). The same graphs can also be generated by a mathematical morphology method. These results may possibly have applications in image compression and pattern recognition.

    Generating and coding of fractal graphs by neural network and mathematical morphology methods. Publishing Authors By Initials

    l zhangL Zhang,b zhangB Zhang,g chenG Chen,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Generating and coding of fractal graphs by neural network and mathematical morphology methods. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: IEEE transactions on neural networks / a publicati

    VOLUME: 7

    Page Numbers: 400-7

    Journal Abbreviation:

    ISSN: 1045-9227

    DAY: 7

    MONTH: 02

    YEAR: 1996

    Generating and coding of fractal graphs by neural network and mathematical morphology methods. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101211035

    Generating and coding of fractal graphs by neural network and mathematical morphology methods. Keywords Mesh Terms:

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    Grant and Affiliation Information for Generating and coding of fractal graphs by neural network and mathematical morphology methods.

    AFFILIATION: Dept. of Comput. Sci., Anhui Univ., Hefei.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: IEEE Trans Neural Netw

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