• DocumentCode
    2715195
  • Title

    ART properties of interest in engineering applications

  • Author

    Wunsch, Donald C., II

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA
  • fYear
    2009
  • fDate
    14-19 June 2009
  • Firstpage
    3380
  • Lastpage
    3383
  • Abstract
    This paper briefly summarizes some valuable properties of ART architectures that are advantageous in engineering applications, and outlines some areas of likely future progress, together with their motivations. Some of ART´s advantages, such as its stability, biological plausibility, and responsiveness to the stability-plasticity dilemma, are well-described in the literature. This paper´s focus will be on the advantages of scalability, speed, configurability, potential for parallelization, and ability to interpret the results. A valuable new area of innovation will be the application of ART to more generalized data structures such as trees and grammars. Continued progress on distributed representations would be valuable because of increased data representation capability, both in terms of system capacity and template complexity. Another valuable area of progress would be removal of the dichotomy between match-based and error-based learning.
  • Keywords
    ART neural nets; engineering computing; ART architecture; biological plausibility; data representation; engineering application; error-based learning; generalized data structure; grammar; match-based learning; stability-plasticity dilemma; system capacity; template complexity; trees; Equations; Extraterrestrial measurements; Hilbert space; Interpolation; Kernel; Machine learning; Neural networks; Standards development; Subspace constraints; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2009. IJCNN 2009. International Joint Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-3548-7
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2009.5179094
  • Filename
    5179094