• DocumentCode
    2835797
  • Title

    Research on amplifier performance evaluation based on feature double weighted support vector machine

  • Author

    Zhang, Aihua

  • Author_Institution
    Coll. of Inf. Sci. & Eng., BoHai Univ., Jinzhou, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    806
  • Lastpage
    809
  • Abstract
    An evaluation for amplifier performance based on feature double weighted support vector machine was proposed in this paper. The evaluation system structure was conformed, relied on the college analog electronic technology experiments, adopted the amplifier performance four indexes obtained via amplitude-frequency tester in one year to construct training set, and then to be four classifier evaluation based on FDWSVM. Experiment results show that this method can improve the parameter test precision and is suitable for the evaluation of electronic products.
  • Keywords
    amplifiers; statistical analysis; support vector machines; amplifier performance evaluation; amplitude-frequency tester; college analog electronic technology experiments; feature double weighted support vector machine; parameter test precision; Cutoff frequency; Educational institutions; Electronic equipment testing; Frequency conversion; Instruments; Kernel; Machine learning; Pulse amplifiers; Support vector machine classification; Support vector machines; Amplifier Performance Evaluation; Classifier; FDWSVM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498115
  • Filename
    5498115