• DocumentCode
    1682711
  • Title

    Genetic evolution of neural networks that remember

  • Author

    Dávila, Jaime J.

  • Author_Institution
    Sch. of Cognitive Sci., Hampshire Coll., Amherst, MA, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1148
  • Lastpage
    1153
  • Abstract
    The GENDALC system has been previously used to evolve NN topologies for natural language tasks. This paper presents results on additional tasks that require remembering and processing of previous input patterns. These results indicate that GENDALC is particularly well suited for tasks that require remembering
  • Keywords
    genetic algorithms; network topology; neural nets; software packages; GENDALC; NN topologies; genetic evolution; layer connection; neural network topologies; neuron distribution; Bioinformatics; Cognitive science; Educational institutions; Genetics; Genomics; Natural language processing; Natural languages; Network topology; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1007656
  • Filename
    1007656
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1682711