Modular Neural Networks Evolved by Genetic Programming

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

@InProceedings{cho:1996:mNNeGP,
  author =       "Sung-Bae Cho and Katsunori Shimohara",
  title =        "Modular Neural Networks Evolved by Genetic
                 Programming",
  booktitle =    "Proceedings of the 1996 {IEEE} International
                 Conference on Evolutionary Computation",
  year =         "1996",
  volume =       "1",
  pages =        "681--684",
  address =      "Nagoya, Japan",
  month =        "20-22 " # may,
  organisation = "IEEE Neural Network Council",
  keywords =     "genetic algorithms, genetic programming, Khepera,
                 artificial life, artificial neural network, behavior
                 based robots, control system design, evolutionary
                 mechanism, evolvable model, genetic programming,
                 handwritten digits, modular neural networks, network
                 architectures, randomly connected networks, visual
                 categorization task, genetic algorithms, intelligent
                 control, neural net architecture, neurocontrollers,
                 systems analysis",
  ISBN =         "0-7803-2902-3",
  DOI =          "doi:10.1109/ICEC.1996.542683",
  size =         "4 pages",
  abstract =     "In this paper we present an evolvable model of modular
                 neural networks which are rich in autonomy and
                 creativity. In order to build an artificial neural
                 network which is rich in autonomy and creativity, we
                 have adopted the ideas and methodologies of Artificial
                 Life. This paper describes the concepts and
                 methodologies for the evolvable model of modular neural
                 networks, which will be able not only to develop new
                 functionality spontaneously but also to grow and evolve
                 its own structure autonomously. Although the ultimate
                 goal of this model is to design the control system for
                 such behaviour-based robots as Khepera, we have
                 attempted to apply the mechanism to a visual
                 categorisation task with handwritten digits. The
                 evolutionary mechanism has shown a strong possibility
                 to generate useful network architectures from an
                 initial set of randomly-connected networks.",
  notes =        "ICEC-96 Evolves ANN network for recognising human
                 written characters",
}

Genetic Programming entries for Sung Bae Cho Katsunori Shimohara

Citations