DocumentCode
3051006
Title
A hierarchy of hyperbolic macrodynamic equations as a model for network training
Author
Melnik, Roderick V Nicholas
Author_Institution
Dept. of Math. & Comput., Southern Queensland Univ., Toowoomba, Qld., Australia
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
322
Abstract
The author proposes mathematical models of hyperbolic type for training of neural networks, and its computational implementation using the Markov chain approximation method
Keywords
Markov processes; feedforward neural nets; hyperbolic equations; learning (artificial intelligence); Markov chain approximation method; computational implementation; hyperbolic macrodynamic equations hierarchy; mathematical models; network training; neural networks; Approximation methods; Australia; Computer networks; Decision making; Equations; Mathematical model; Mathematics; Neural networks; Neurons; Optimal control;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location
Ulm
Print_ISBN
0-7803-3956-8
Type
conf
DOI
10.1109/ISIT.1997.613249
Filename
613249
Link To Document