• DocumentCode
    1327754
  • Title

    Comments on "Stochastic choice of basis functions in adaptive function approximation and the functional-link net" [with reply]

  • Author

    Jin-yan Li ; Chow, W.S. ; Igelnik, B. ; Yoh-Han Pao

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
  • Volume
    8
  • Issue
    2
  • fYear
    1997
  • fDate
    3/1/1997 12:00:00 AM
  • Firstpage
    452
  • Lastpage
    454
  • Abstract
    This paper includes some comments and amendments of the above-mentioned paper by Igelnik et al. (1995). Subsequently, Theorem 1 in the above-mentioned paper has been revised. The significant change of the original theorem is the space of the thresholds in the hidden layer. The revised theorem says that the thresholds of hidden b/sub 0/, should be -w/sub 0//spl middot/y/sub 0/-u/sub 0/, where w/sub 0/=/spl alpha/w/spl circ//sub 0/; w/spl circ//sub 0/=(w/spl circ//sub 01/, /spl middot//spl middot//spl middot/, y/sub 0d/), and u/sub 0/ be independent and uniformly distributed in V/sup d/=[0; /spl Omega/]/spl times/[-/spl Omega/; /spl Omega/]/sup d-1/, I/sup d/, and [-2d/spl Omega/, 2d/spl Omega/], respectively. In reply, Igelnik et al. acknowledge that a factor of two was omitted in the statement of a trigonometric identity. However, the validity of the essential point of Theorem 1 is unaltered.
  • Keywords
    function approximation; neural nets; probability; adaptive function approximation; basis functions; functional-link net; hidden layer; neural networks; thresholds; Control systems; Eigenvalues and eigenfunctions; Function approximation; Neural networks; Physics; Stability; State-space methods; Steady-state; Stochastic processes; Writing;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.557702
  • Filename
    557702