• DocumentCode
    2161149
  • Title

    How to Assess Patent Values in Patent Infringement Lawsuits?

  • Author

    Che, Hui-Chung ; Huang, Hsiao-Wen

  • Author_Institution
    Union IP Consulting Ltd., Beijing, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This study illustrated the procedure to assess patent values, especially for the damage award of a patent infringement lawsuit. 65 effective samples of infringement lawsuits were extracted from 4,289 US patent related lawsuits. 17 patent indicators were summarized to describe quantitative dimensions of a patent. 9 extracted factors were generated from the 17 patent indicators by Factor Analysis. The Multi- Regression Analysis was applied to find 6 selected factors which having higher influence to the damage award. The Extension Neural Network was applied to construct the valuation model, wherein the 6 selected factors were the input variables and the damage award was the output variable. The proposed valuation model was validated to have the predictive power by error analysis.
  • Keywords
    error analysis; neural nets; patents; regression analysis; extension neural network; factor analysis; multiregression analysis; patent infringement lawsuits; patent values; quantitative dimensions; Artificial neural networks; Awards activities; Biological system modeling; Cost accounting; Mathematical model; Patents; Portfolios;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5576708
  • Filename
    5576708