• DocumentCode
    2996546
  • Title

    A Constraints-Embeded OBS Process and Conjugate Gradient Optimizing Algorithm

  • Author

    Cui-juan, WU ; Dong, LI ; Tian, Song

  • Author_Institution
    Dept. of Mech. & Electron., Suzhou Inst. of Trade & Commerce, Suzhou, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    23
  • Lastpage
    26
  • Abstract
    The optimal brain surgeon (OBS) process is a high computing complexity post-training network pruning algorithm. A OBS conjugate gradient structure optimizing algorithm (c-OBS-CG) constraints embedded was designed which regarded the structure evaluating relationship as constraints and introduced it into neural network trainging target function, and aided by the mix process of Newton gradient and conjugate gradient. The simulation experiment verify its validity. It implements the parallel pruning of network training and OBS process, keeps both the accuracy of OBS procedure and highly-efficient regularization, raises the generalization performance of neural network.
  • Keywords
    Newton method; computational complexity; conjugate gradient methods; constraint handling; generalisation (artificial intelligence); medical computing; neural nets; surgery; Newton gradient; OBS conjugate gradient structure optimizing algorithm constraint; conjugate gradient optimizing algorithm; constraints embedded OBS process; generalization performance; high computing complexity post training network pruning algorithm; neural network trainging target function; optimal brain surgeon process; Algorithm design and analysis; Biological neural networks; Information processing; Optimization; Presses; Process control; Surgery; conjugate gradient; constraints; network pruning; neural network; optimal brain surgeon process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.14
  • Filename
    5630697