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  • Erol Gelenbe
  • Computer Science
  • Neural Computation
  • 1992 (First Publication: 7 September 1992)
  • The capacity to learn from examples is one of the most desirable features of neural network models. We present a learning algorithm for the recurrent random network model (Gelenbe 1989, 1990) usingContinue Reading
  • Erol Gelenbe, Guy Pujolle
  • Computer Science
  • 1987 (First Publication: 1 February 1987)
  • Queues with a Single Server. Jackson Networks. Extensions to Queues with a Single Server. Baskett, Chandy, Muntz and Palacios Networks. Approximate Methods. Flows in Networks. G-Networks: PositiveContinue Reading
  • Erol Gelenbe
  • Computer Science
  • JACM
  • 1979 (First Publication: 1 April 1979)
  • One of the basic problems related to the efficient and secure operation of a transaction oriented file or database system is the choice of the checkpoint interval In this paper we show that theContinue Reading
  • Erol Gelenbe
  • Mathematics
  • 1993 (First Publication: 1 September 1993)
  • The generalized queueing networks (G-networks) which we introduce in this paper contain customers and signals. Both customers and signals can be exogenous, or can be obtained by a Markovian movementContinue Reading
  • Erol Gelenbe
  • Mathematics, Computer Science
  • Neural Computation
  • 1990 (First Publication: 1 April 1990)
  • In a recent paper (Gelenbe 1989) we introduced a new neural network model, called the Random Network, in which negative or positive signals circulate, modeling inhibitory and excitatory signals.Continue Reading
  • Erol Gelenbe
  • Computer Science
  • JACM
  • 1975 (First Publication: 1 April 1975)
  • A new treatment of the boundary conditions of diffusionapproximations for interconnected queueing systems is presented.The results have applications to the study of the performanceContinue Reading