A New Modified Network based on the Elman Network

摘要

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 network. The new model is introduced in order to improve the speed and accuracy of SRNs. The new model is studied using different training algorithms. The three training algorithms, which are back propagation, back propagation through the time, and real-time recurrent learning, are implemented and compared to traditional Elman network.