Designing Functional Networks Through Evolutionary Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Yongquan Zhou and Dongdong Wang and Ming Zhang",
  title =        "Designing Functional Networks Through Evolutionary
  booktitle =    "The Sixth World Congress on Intelligent Control and
                 Automation, WCICA 2006",
  year =         "2006",
  volume =       "1",
  pages =        "3250--3254",
  address =      "Dalian",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-4244-0332-4",
  DOI =          "doi:10.1109/WCICA.2006.1712968",
  abstract =     "Functional network is a recently introduced extension
                 of neural networks. Like neural networks, nowadays,
                 there is no system designing method for designing
                 approximation functional networks structure. A new
                 genetic programming designing modelling method,
                 combining genetic programming and genetic algorithm,
                 was proposed for hybrid identification of model
                 structure and functional parameters by performing
                 global optimal search in the complex solution space
                 where the structures and parameters coexist and
                 interact. These results also show that the proposed
                 method in this paper can produce very compact network
                 structure and the functional networks convergent
                 precision are improved greatly",
  notes =        "Coll. of Comput. & Inf. Sci., Guangxi Univ. for
                 Nationalities, Nanning",

Genetic Programming entries for Yongquan Zhou Dongdong Wang Ming Zhang