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Issue:Modeling the algorithm backpropagation for learning of neural networks with generalized nets. Part 1

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Title of paper: Modeling the algorithm backpropagation for learning of neural networks with generalized nets. Part 1
Author(s):
Sotir Sotirov
University “Prof. D-r Assen Zlatarov” – Bourgas, Bulgaria
ssotirov@btu.bg
Presented at: 4th IWGN, Sofia, 23 September 2003
Published in: Conference proceedings, pages 61—67
Download:  PDF (175  Kb, Info)
Keywords: Generalized nets, Integrated circuit wafers
References:
  1. Atanassov, K. Generalized Nets, World Scientific. Singapore, New Jersey, London, 1991.
  2. Atanassov, K., Introduction to the theory of the generalized nets, Pontika-Print, Bourgas, 1992.
  3. Haykin, S, Neural network and comprehensive foundation, Prentice Hall, New Jersey, 1999.
  4. Howard Demuth, Mark Beale, Neural network design, Prentice hall, New Jersey, 1995.
  5. Atanasov Kr., E. Sotirova, On Global Operator G21 Defined over Generalized Nets, Cybernetics and information technologies, Volume 4 No 2, Bulgarian Academy of Science, Sofia, 2004.
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