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    Efficiency of applying Hopfield neural networks with simulated annealing and genetic algorithms for solving m–partite graph problem

    New search for: Ming, X. G.
    New search for: Mak, K.L.

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    Efficiency of applying Hopfield neural networks with simulated annealing and genetic algorithms for solving m–partite graph problem

    New search for: Ming, X. G.
    New search for: Mak, K.L.

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Efficiency of applying Hopfield neural networks with simulated annealing and genetic algorithms for solving m–partite graph problem

    New search for: Ming, X. G.
    New search for: Mak, K.L.

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

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    Check availability in my library
    Order at Subito €

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    Document information
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    Document information
    Title:

    Efficiency of applying Hopfield neural networks with simulated annealing and genetic algorithms for solving m–partite graph problem

    Contributors:

    Ming, X. G. (author) / Mak, K.L. (author)

    Published in:

    International journal of material & product technology ; 13 ; 195-213

    Publication date:

    1998-01-01

    Size:

    19 pages

    ISSN:

    0268-1900

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Classification:

    DDC:  620.11

    © Metadata Copyright the British Library Board and other contributors. All rights reserved.

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