• DocumentCode
    1843102
  • Title

    Variance analysis of sensitivity information for pruning multilayer feedforward neural networks

  • Author

    Engelbrecht, AP ; Fletcher, L. ; Cloete, I.

  • Author_Institution
    Pretoria Univ., South Africa
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1829
  • Abstract
    This paper presents an algorithm for pruning feedforward neural network architectures using sensitivity analysis. Sensitivity Analysis is used to quantify the relevance of input and hidden units. A new statistical pruning heuristic is proposed, based on the variance analysis, to decide which units to prune. Results are presented to show that the pruning algorithm correctly prunes irrelevant input and hidden units
  • Keywords
    feedforward neural nets; optimisation; sensitivity analysis; statistical analysis; feedforward neural networks; heuristic; multilayer neural networks; pruning; sensitivity analysis; statistical analysis; variance analysis; Africa; Analysis of variance; Feedforward neural networks; Information analysis; Information technology; Multi-layer neural network; Neural networks; Robust stability; Sensitivity analysis; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.832657
  • Filename
    832657
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1843102