Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology

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

@InProceedings{Barton:2009:IJCNN,
  author =       "Alan J. Barton and Julio J. Valdes and 
                 Robert Orchard",
  title =        "Learning the neuron functions within a neural network
                 via Genetic Programming: Applications to geophysics and
                 hydrogeology",
  booktitle =    "International Joint Conference on Neural Networks,
                 IJCNN 2009",
  year =         "2009",
  pages =        "264--271",
  address =      "Atlanta, Georgia, USA",
  month =        jun # " 14-19",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, geophysics, geophysics
                 computing, hydrology, neural nets, geophysics,
                 hydrogeology, neural network classifier, neural network
                 neurons, neuron functions",
  DOI =          "doi:10.1109/IJCNN.2009.5178731",
  size =         "8 pages",
  abstract =     "A neural network classifier is sought. Classical
                 neural network neurons are aggregations of a weight
                 multiplied by an input value and then controlled via an
                 activation function. This paper learns everything
                 within the neuron using a variant of genetic
                 programming called gene expression programming. That
                 is, this paper does not explicitly use weights or
                 activation functions within a neuron, nor bias nodes
                 within a layer. Promising preliminary results are
                 reported for a study of the detection of underground
                 caves (a 1 class problem) and for a study of the
                 interaction of water and minerals near a glacier in the
                 Arctic (a 5 class problem).",
  notes =        "

                 one class membership. ANN variable with 0 mean 1
                 standard deviation.

                 Also known as \cite{5178731} See \cite{Barton2009614}",
}

Genetic Programming entries for Alan J Barton Julio J Valdes Robert Orchard

Citations