• DocumentCode
    288315
  • Title

    On the relative time complexities of standard and conjugate gradient backpropagation

  • Author

    Stone, James V. ; Lister, Raymond

  • Author_Institution
    Sch. of Cognitive & Comput. Sci., Sussex Univ., Brighton, UK
  • Volume
    1
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    84
  • Abstract
    It is well known that conjugate gradient backpropagation is much faster than standard backpropagation on many given problem instances. However, it has not been established that the conjugate gradient form has a lower time complexity than the standard algorithm. We describe an empirical estimation of the algorithms´ respective time complexities, on N2N encoder problems. The algorithms were found to have near equal median time complexities, approximately O(N4)
  • Keywords
    backpropagation; computational complexity; conjugate gradient methods; neural nets; N2N encoder; conjugate gradient backpropagation; neural nets; relative time complexities; standard backpropagation; Algorithm design and analysis; Backpropagation; Biology computing; Computer science; Equations; Error correction; Optimization methods; Pathology; Polynomials; Size control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374143
  • Filename
    374143