Graph genetic programming for hybrid neural networks design

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "L. Ferariu and B. Burlacu",
  title =        "Graph genetic programming for hybrid neural networks
  booktitle =    "International Joint Conference on Computational
                 Cybernetics and Technical Informatics (ICCC-CONTI)",
  year =         "2010",
  month =        may,
  pages =        "547--552",
  abstract =     "This paper presents a novel approach devoted to the
                 design of feed forward hybrid neural models. Graph
                 genetic programming techniques are used to provide a
                 flexible construction of partially interconnected
                 neural structures with heterogeneous layers built as
                 combinations of local and global neurons. By exploiting
                 the inner modularity and the parallelism of the neural
                 architectures, the approach suggests the encryption of
                 the potential mathematical models as directed acyclic
                 graphs and defines a minimally sufficient set of
                 functions which guarantees that any combination of
                 primitives encodes a valid neural model. The
                 exploration capabilities of the algorithm are
                 heightened by means of customised crossovers and
                 mutations, which act both at the structural and the
                 parametric level of the encrypted individuals, for
                 producing offspring compliant with the neural networks'
                 formalism. As the parameters of the models become the
                 parameters of the primitive functions, the genetic
                 operators are extended to manage the inner
                 configuration of the functional nodes in the involved
                 hierarchical individuals. The applicability of the
                 proposed design algorithm is discussed on the
                 identification of an industrial nonlinear plant.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICCCYB.2010.5491213",
  notes =        "Also known as \cite{5491213}",

Genetic Programming entries for Lavinia Ferariu Bogdan Burlacu