Generation and simplification of Artificial Neural Networks by means of Genetic Programming

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

@Article{Rivero20103200,
  author =       "Daniel Rivero and Julian Dorado and Juan Rabunal and 
                 Alejandro Pazos",
  title =        "Generation and simplification of Artificial Neural
                 Networks by means of Genetic Programming",
  journal =      "Neurocomputing",
  volume =       "73",
  number =       "16-18",
  pages =        "3200--3223",
  year =         "2010",
  note =         "10th Brazilian Symposium on Neural Networks
                 (SBRN2008)",
  ISSN =         "0925-2312",
  DOI =          "doi:10.1016/j.neucom.2010.05.010",
  URL =          "http://www.sciencedirect.com/science/article/B6V10-50GJ2JN-1/2/e32f0849c445d8250dfc0255ef5a27c5",
  keywords =     "genetic algorithms, genetic programming, Artificial
                 Neural Networks, Evolutionary computation",
  abstract =     "The development of Artificial Neural Networks (ANNs)
                 is traditionally a slow process in which human experts
                 are needed to experiment on different architectural
                 procedures until they find the one that presents the
                 correct results that solve a specific problem. This
                 work describes a new technique that uses Genetic
                 Programming (GP) in order to automatically develop
                 simple ANNs, with a low number of neurons and
                 connections. Experiments have been carried out in order
                 to measure the behaviour of the system and also to
                 compare the results obtained using other ANN generation
                 and training methods with evolutionary computation (EC)
                 tools. The obtained results are, in the worst case, at
                 least comparable to existing techniques and, in many
                 cases, substantially better. As explained herein, the
                 system has other important features such as variable
                 discrimination, which provides new information on the
                 problems to be solved.",
}

Genetic Programming entries for Daniel Rivero Cebrian Julian Dorado Juan Ramon Rabunal Dopico Alejandro Pazos Sierra

Citations