Recurrent neural networks

Recurrent neural networks A recurrent neural network (RNN) exhibits temporal dynamic behaviour. Its connections between nodes form a directed graph capable of representing a temporal sequence. The Elman 1 and Jordan 2 networks are simple recurrent neural networks. The next presentation considers Elman networks. More information can be found in the existing literature. Elman networks

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Authors & references

Authors:

Professor Emeritus Kauko Leiviskä, University of Oulu

References:

Elman, J.L. 1990. Finding Structure in Time. Cognitive Science 14 (2):179–211.
Jordan, M. I. 1997. Serial Order: A Parallel Distributed Processing Approach. Advances in Psychology. Neural-Network Models of Cognition. 121: 471–495.
Pham, D.T. and Karaboga, D. 1999. Training Elman and Jordan networks for system identification using genetic algorithms. Artificial Intelligence in Engineering 13:107–117.
Wang, D.L., Liu, X.M., Ahalt, S.C 1996. On temporal generalization of simple recurrent networks. Neural Networks 9(7):1099-1118.
Abdelhameed, M. M. and Tolbah, F.A. 2002. A recurrent neural network-based sequential controller for manufacturing automated systems. Mechatronics 12: 617–633.
Leiviskä, K. 2009. Elman Network in Kappa Number Prediction. -Proceedings, ICONS 2009. The 2nd IFAC Conference, Intelligent Control Systems. Istanbul, Turkey, 6p.
Koprinkova-Hristova, P., Hadjiski, M. and Doukovska, L., and Beloreshki, S. 2011. Recurrent Neural Networks for Predictive Maintenance of Mill Fan Systems. Intl journal of electronics and telecommunications 57(3):401–406.
Köker, R. 2005a. Reliability-based approach to the inverse kinematics solution of robots using Elman’s networks. Engineering Applications of Artificial Intelligence 18:685–693.
Köker, R. 2006 b. Design and performance of an intelligent predictive controller for a six-degree-of-freedom robot using the Elman network. Information Sciences 176:1781–1799.
Patnaik, P.R. 2003. An integrated hybrid neural system for noise filtering, simulation and control of a fed-batch recombinant fermentation. Biochemical Engineering Journal 15:165–175.
He, H.-T. and Tian, X. 2007. An improved Elman Network and its application in flatness prediction modeling Proceedings of the Second International Conference on Innovative Computing, Information and Control, pp. 552–558
Villatel, K., Smirnova, E., Mary, J. and Preux, P. 2018. Recurrent Neural Networks for Long and Short-Term Sequential Recommendation. CoRR, abs/1807.09142.
Seker, S., Ayaz, E. and Türkcan, E. 2003. Elman’s recurrent neural network applications to condition monitoring in nuclear power plant and rotating machinery. Engineering Applications of Artificial Intelligence 16(7–8):647–656.

This page has been updated 15.11.2020

Recurrent neural networks

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