Modeling Charpy impact behavior of Al6061/SiCp laminated nanocomposites by genetic programming

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@Article{Nazari:2013:CI,
  author =       "Ali Nazari and Vahidreza Abdinejad",
  title =        "Modeling Charpy impact behavior of Al6061/SiCp
                 laminated nanocomposites by genetic programming",
  journal =      "Ceramics International",
  volume =       "39",
  number =       "2",
  pages =        "1991--2002",
  year =         "2013",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Al/SiCP
                 nanocomposite, Impact behaviour, Mechanical alloying",
  ISSN =         "0272-8842",
  DOI =          "doi:10.1016/j.ceramint.2012.08.051",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0272884212007985",
  abstract =     "In this work, 4 different gene expression programming
                 models were conducted to predict Charpy impact energy
                 of Al6061-SiCP laminated nanocomposites produced by
                 mechanical alloying. The differences between the models
                 were in their number of genes, head size and
                 chromosomes as well as their linking function. To build
                 the models, 171 pair input-target data were gathered
                 from the literature, randomly divided into 133 and 38
                 data sets and then were respectively trained and tested
                 by the proposed models. The thickness of layers, the
                 number of layers, the adhesive type, the crack tip
                 configuration, the content of SiC nanoparticles and the
                 test trial number were 6 independent input parameters.
                 The output parameter was Charpy impact energy of the
                 laminated nanocomposites. Although the entire models
                 proposed high performance outcomes, the best
                 performance model had the absolute fraction of
                 variance, the mean absolute percentage error and the
                 root mean square error of 0.9826, 10.217 and 12.432,
                 respectively. All of the training and testing results
                 in the models showed an appropriate performance for
                 predicting Charpy impact energy of Al6061/SiCp
                 laminated nanocomposites in the considered range.",
}

Genetic Programming entries for Ali Nazari Vahidreza Abdinejad

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