A Genetic Programming Approach to Designing Convolutional Neural Network Architectures

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Suganuma:2017:GECCO,
  author =       "Masanori Suganuma and Shinichi Shirakawa and 
                 Tomoharu Nagao",
  title =        "A Genetic Programming Approach to Designing
                 Convolutional Neural Network Architectures",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference",
  series =       "GECCO '17",
  year =         "2017",
  isbn13 =       "978-1-4503-4920-8",
  address =      "Berlin, Germany",
  pages =        "497--504",
  size =         "8 pages",
  URL =          "http://doi.acm.org/10.1145/3071178.3071229",
  DOI =          "doi:10.1145/3071178.3071229",
  acmid =        "3071229",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  keywords =     "genetic algorithms, genetic programming, convolutional
                 neural network, deep learning, designing neural network
                 architectures",
  month =        "15-19 " # jul,
  notes =        "Also known as \cite{Suganuma:2017:GPA:3071178.3071229}
                 GECCO-2017 A Recombination of the 26th International
                 Conference on Genetic Algorithms (ICGA-2017) and the
                 22nd Annual Genetic Programming Conference (GP-2017)",
}

Genetic Programming entries for Masanori Suganuma Shinichi Shirakawa Tomoharu Nagao

Citations