The paper addresses the problem of the efficient simulation of neural networks on parallel machines. First, the computationally most efficient neural algorithms capturing the functionality of the network are searched for. Then their implementations on a given concurrent machine (a transputer array programmed in Occam) is presented and discussed. Single-layer networks, described by the additive, or Hopfield, model are considered.. Results of the solution of optimization problems (analog/digital conversion and the traveling salesman problem) are given.
Neural networks on a transputer array
Di Zitti Ermanno;Caviglia Daniele D.;Bisio Giacomo M.;Parodi Giancarlo
1989-01-01
Abstract
The paper addresses the problem of the efficient simulation of neural networks on parallel machines. First, the computationally most efficient neural algorithms capturing the functionality of the network are searched for. Then their implementations on a given concurrent machine (a transputer array programmed in Occam) is presented and discussed. Single-layer networks, described by the additive, or Hopfield, model are considered.. Results of the solution of optimization problems (analog/digital conversion and the traveling salesman problem) are given.
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