A New Modified Network based on the Elman Network

B.Q. Huang, T. Rashid, and T. Kechadi (Ireland)

Keywords

Simple recurrent networks, realtime recurrent learning, El man Network, Backpropagation, Long sequence task.

Abstract

Simple recurrent networks have been used in simulations and modelling of many real-world applications. Usually these networks deal with tasks of temporal sequences. In this paper, we introduce a new SRN based on Elman net work. The new model is introduced in order to improve the speed and accuracy of SRNs. The new model is stud ied using different training algorithms. The three training algorithms, which are back propagation, back propagation through the time, and real-time recurrent learning, are im plemented and compared to traditional Elman network.

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