Parallel Realisation of the Recurrent RTRN Neural Network Learning

  • Authors:
  • Jarosław Bilski;Jacek Smoląg

  • Affiliations:
  • Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland;Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland

  • Venue:
  • ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
  • Year:
  • 2006

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Abstract

In this paper we present a parallel realisation of Real-Time Recurrent Network (RTRN) learning algorithm. We introduce the cuboid architecture to parallelise computation of learning algorithms. Parallel neural network structures are explicitly presented and the performance discussion is included.