• DocumentCode
    2622873
  • Title

    Behaviors of transform domain backpropagation (BP) algorithm

  • Author

    Yang, Xiahua ; Xue, Ping

  • Author_Institution
    Dept. of Electron. Eng., Jiao Tong Univ., Shanghai, China
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    349
  • Abstract
    Several discrete orthogonal transforms have been used to study the behaviors of transform-domain backpropagation (BP) algorithms. Two examples of computer simulation show that, on selecting the appropriate parameters and the suitable structures of a neural network, the performance of the transform-domain BP algorithm is somewhat better than that of the original time-domain BP algorithm, regardless of which discrete orthogonal transform is applied. Among the transforms that have been used, the behaviors of the discrete cosine transform (DCT) and an alternative version of it are believed to be the best
  • Keywords
    neural nets; transforms; discrete cosine transform; neural network; transform domain backpropagation; Acceleration; Artificial neural networks; Backpropagation algorithms; Computational complexity; Convergence; Discrete cosine transforms; Discrete transforms; Karhunen-Loeve transforms; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170426
  • Filename
    170426