• DocumentCode
    1737685
  • Title

    Design of a distributed neuro-genetic learning architecture

  • Author

    Krasniewicz, J. ; Winfield, M.J. ; Green, P.

  • Author_Institution
    Sch. of Comput, Univ. of Central England, Birmingham, UK
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    612
  • Abstract
    Discusses a software application, called the GANN (Genetic Algorithm for Artificial Neural Networks) simulator, which is required to conduct experiments using genetic neural network (GNN) techniques. In particular, progression from the initial investigations into artificial neural networks (ANNs) and genetic algorithms (GAs) to the specific topic of GNNs is provided. The purpose of this application is to provide the means necessary to meet the objective of performing an empirical investigation in the area of GNNs. GANN was analysed, designed and implemented using object-oriented techniques. While the acronym GANN is not unique to this particular application and is also used by P. Andersen et al., this implementation differs considerably
  • Keywords
    distributed processing; genetic algorithms; learning (artificial intelligence); neural net architecture; virtual machines; GANN simulator; artificial neural networks; distributed neuro-genetic learning architecture; genetic algorithm; genetic neural network techniques; object-oriented techniques; software application; Algorithm design and analysis; Application software; Artificial neural networks; Computer architecture; Computer networks; Distributed processing; Genetic algorithms; Hardware; Master-slave; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-7803-6400-7
  • Type

    conf

  • DOI
    10.1109/KES.2000.884122
  • Filename
    884122