• DocumentCode
    1132204
  • Title

    A neural network approach to a Bayesian statistical decision problem

  • Author

    Miyake, Shigeki ; Kanaya, Fumio

  • Author_Institution
    NTT Transmission Syst. Lab., Kanagawa, Japan
  • Volume
    2
  • Issue
    5
  • fYear
    1991
  • fDate
    9/1/1991 12:00:00 AM
  • Firstpage
    538
  • Lastpage
    540
  • Abstract
    Generalized mean-squared error (GMSE) objective functions are proposed that can be used in neural networks to yield a Bayes optimal solution to a statistical decision problem characterized by a generic loss function
  • Keywords
    Bayes methods; decision theory; neural nets; statistical analysis; Bayesian statistical decision problem; generic loss function; mean-squared error; neural network; objective functions; Backpropagation; Bayesian methods; Loss measurement; Neural networks; Neurons; Pattern recognition; Propagation losses; Robustness; State-space methods; Supervised learning;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.134293
  • Filename
    134293
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1132204