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    HAIS
    2008
    Springer
    99views Artificial Intelligence» more  HAIS 2008»
    An Evolutionary Approach for Tuning Artificial Neural Network Parameters
    15 years 3 months ago
    An Evolutionary Approach for Tuning Artificial Neural Network Parameters
    Download  www.cin.ufpe.br
    The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
    Leandro M. Almeida, Teresa Bernarda Ludermir
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    161
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    JCM
    2006
    144views more  JCM 2006»
    Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
    15 years 2 months ago
    Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
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    Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise...
    Vincent Tam, King-Yip Cheng, King-Shan Lui
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    SIGMOD
    2010
    ACM
    196views Database» more  SIGMOD 2010»
    GAIA: graph classification using evolutionary computation
    15 years 2 months ago
    GAIA: graph classification using evolutionary computation
    Download  www.cs.unc.edu
    Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
    Ning Jin, Calvin Young, Wei Wang
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    EVOW
    2004
    Springer
    106views Artificial Intelligence» more  EVOW 2004»
    Designing Reliable Communication Networks with a Genetic Algorithm Using a Repair Heuristic
    15 years 8 months ago
    Designing Reliable Communication Networks with a Genetic Algorithm Using a Repair Heuristic
    Download  wifo1.bwl.uni-mannheim.de
    Dirk Reichelt, Franz Rothlauf, Peter Gmilkowsky
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    82
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    EOR
    2000
    45views more  EOR 2000»
    Digital data networks design using genetic algorithms
    15 years 2 months ago
    Digital data networks design using genetic algorithms
    Download  www.smeal.psu.edu
    Chao-Hsien Chu, G. Premkumar, Hsinghua Chou
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