Issue:Generalized net model of recurrent neural network

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Title of paper: Generalized net model of recurrent neural network Author(s): Sotir Sotirov “Prof. Asen Zlatarov” University, Bourgas 8010, Bulgaria ssotirov@btu.bg Maciej Krawczak 2Systems Research Institute – Polish Academy of Sciences, Wyzsza Szkola Informatyki Stosowanej I Zarzadzania, Warsaw, Poland krawczak@ibspan.waw.pl Presented at: 11th IWGN, Sofia, 5 December 2010 Published in: Conference proceedings, pages 14—20 Download:  PDF (178  Kb, Info) Abstract: The proposed GN model present work of the recurrent neural network. Instead of other types neural network now we are describing the process during the time. In a series of paper we describe many different neural networks. This paper describes a different part from the neural networks – this is a network with feed back into the hidden layer. Keywords: Neural Networks, Recurrent Neural Networks, Generalized Nets. References: Atanassov, K. Generalized nets, World Scientific, Singapore, New Jersey, London 1991 Atanassov, K. On Generalized Nets Theory, “Prof. M. Drinov”Academic Publishing House, Sofia, 2007 Atanassov, K., S. Sotirov, A. Antonov, Generalized net model for parallel optimization of feed-forward neural network, Advanced studies in contemporary Mathematics, Vol.15, No. 1 2007, 109-119 Atanassov, K., S. Sotirov, Optimization of a neural network of self-organizing maps type with time-limits by a generalized net, Advanced studies in contemporary Mathematics, Vol. 13, No.2, 2006, 213-220 Hagan, M., H. Demuth, M. Beale, Neural Network Design, Boston, MA: PWS Publishing, 1996. Haykin, S. Neural Networks: A Comprehensive Foundation, NY: Macmillan, 1994. Krawczak, M. Generalized Net Models of Systems, Bulletin of Polish Academy of Science, 2003 Sotirov, S. Modeling the algorithm Backpropagation for training of neural networks with generalized nets – part 1, Proceedings of the Fourth International Workshop on Generalized Nets, Sofia, 23 September 2003, 61-67 Sotirov, S., Generalized net model of the accelerating backpropagation algоrithm, Jangjeon Mathematical Society, 2006, 217-225 Sotirov, S., Krawczak M., Modeling the algorithm Backpropagation for learning of neural networks with generalized nets – part 2, Issue on Intuitionistic Fuzzy Sets and Generalized nets, Warszawa, 2007, 65-70. Simon Haykin, Neural Networks and Learning Machines, McMaster University, Canada, 2008 Casper K. Chen, Tzi-Dar Chiueh, Active cancellation system of acoustic noise in MR imaging, IEEE transactions on biomedical engineering, Vol. 46, no. 2, February 1999 Citations: The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.