DocumentCode :
3614843
Title :
Neural network modeling by system dynamics methodology
Author :
D. Kofjac;A. Skraba;M. Kljajic
Author_Institution :
Fac. of Organisational Sci., Maribor Univ., Kranj, Slovenia
Volume :
1
fYear :
2003
fDate :
6/25/1905 12:00:00 AM
Firstpage :
424
Abstract :
The present paper describes the modeling of neural networks by the concepts of system dynamics methodology. The presented models contribute to the understanding of the neural networks dynamics. The paper provides several examples of different neural networks topology. The main components of neural networks are modeled by the classical system dynamics entities.
Keywords :
"Neural networks","Algorithm design and analysis","Power system modeling","Artificial neural networks","Network topology","Negative feedback loops","Feedback loop","Computer languages","Dynamic programming","Backpropagation algorithms"
Publisher :
ieee
Conference_Titel :
EUROCON 2003. Computer as a Tool. The IEEE Region 8
Print_ISBN :
0-7803-7763-X
Type :
conf
DOI :
10.1109/EURCON.2003.1248057
Filename :
1248057
Link To Document :
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