Issue:Modeling the algorithm backpropagation for learning of neural networks with generalized nets. Part 1
From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Jump to navigation
Jump to search
shortcut
|
http://ifigenia.org/wiki/issue:{{{shortcut}}}
|
| 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, File info)
|
| Keywords:
|
Generalized nets, Integrated circuit wafers
|
| References:
|
- Atanassov, K. Generalized Nets, World Scientific. Singapore, New Jersey, London, 1991.
- Atanassov, K., Introduction in the theory of the generalized nets, Pontika-Print, Bourgas, 1992.
- Haykin, S, Neural network and comprehensive foundation, Prentice Hall, New Jersey, 1999.
- Howard Demuth, Mark Beale, Neural network design, Prentice hall, New Jersey, 1995.
- 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.
|
| 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.
|
|
