• DocumentCode
    296096
  • Title

    General memory neural network-extending the properties of basis networks to RAM-based architectures

  • Author

    Kolcz, Aleksander ; Allinson, Nigel M.

  • Author_Institution
    Dept. of Electron., York Univ., UK
  • Volume
    4
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    1638
  • Abstract
    A common framework for architectures combining multiple vector-quantization of the input space with memory look-up operations is proposed. Properties of the model are discussed and, in particular, a close relationship with basis functions networks (such as RBFs and kernel regression networks) is established
  • Keywords
    memory architecture; neural net architecture; random-access storage; vector quantisation; RAM-based architectures; RBFs; basis functions networks; basis networks; kernel regression networks; memory look-up operations; memory neural network; multiple vector-quantization; Computer architecture; Computer networks; Design methodology; Function approximation; Kernel; Neural networks; Random access memory; Robustness; Shape; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.488864
  • Filename
    488864
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=296096