• DocumentCode
    2592811
  • Title

    A comparative study of neural network and regression analysis as modeling tools

  • Author

    Sengupta, Sankar

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
  • fYear
    1995
  • fDate
    12-14 Mar 1995
  • Firstpage
    202
  • Lastpage
    205
  • Abstract
    The paper uses a real world example to highlight the differences between neural network and regression analysis as competing modeling tools. The paper also discusses a set of issues that need to be resolved to enhance the capabilities of neural networks as a modeling tool
  • Keywords
    modelling; neural nets; statistical analysis; comparative study; modeling tools; neural network; real world example; regression analysis; Accuracy; Artificial neural networks; Biological neural networks; Differential equations; Mathematical model; Neural networks; Psychology; Regression analysis; Sensitivity analysis; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on
  • Conference_Location
    Starkville, MS
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-6985-3
  • Type

    conf

  • DOI
    10.1109/SSST.1995.390584
  • Filename
    390584
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2592811