• DocumentCode
    1665842
  • Title

    A fast neural-network algorithm for simultaneous extraction of all roots of algebraic polynomial

  • Author

    Zhu, Wei ; Zeng, Zhezhao ; Zhou, Youqing

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha
  • fYear
    2008
  • Firstpage
    2888
  • Lastpage
    2891
  • Abstract
    In this paper, we present a fast neural-network algorithm of multi-point iterative method for simultaneous determination of all roots of polynomial. Its convergence was researched. The computation is carried out by simple steepest descent rule with adaptive variable step-size. The specific examples illustrated that the proposed method can find simultaneously the roots of polynomials at a very rapid convergence and very high accuracy with less computation.
  • Keywords
    iterative methods; mathematics computing; neural nets; polynomials; adaptive variable step-size; multipoint iterative method; neural-network algorithm; simultaneous algebraic polynomial root extraction; steepest descent rule; Communication system control; Control systems; Convergence; Data mining; Educational institutions; Equations; Iterative algorithms; Iterative methods; Polynomials; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697750
  • Filename
    4697750