• DocumentCode
    353227
  • Title

    The cellular simultaneous recurrent network adaptive critic design for the generalized maze problem has a simple closed-form solution

  • Author

    Wunsch, Donald

  • Author_Institution
    Lab. of Appl. Comput. Intelligence, Missouri Univ., Rolla, MO, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    79
  • Abstract
    The generalized maze problem has been considered as an interesting testbed by various researchers in AI and neural networks. The most significant results, from a neural networks point of view, were: 1. Simultaneous recurrent networks are necessary if a neural network-based cellular automaton approach to the problem is to be successful. 2. These networks can be designed so that convergence to a correct solution is assured. Here, a simple closed-form solution for the critic is shown, making adaptation unnecessary. Furthermore, it is shown that the design converges to the correct solution in only J steps, and the worst case convergence speed for an N×N mesh is derived
  • Keywords
    cellular automata; cellular neural nets; convergence; recurrent neural nets; cellular simultaneous recurrent network adaptive critic design; generalized maze problem; simple closed-form solution; worst case convergence speed; Adaptive systems; Cellular networks; Cellular neural networks; Closed-form solution; Computational intelligence; Laboratories; Neural networks; Output feedback; Recurrent neural networks; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.861284
  • Filename
    861284