DocumentCode
1650672
Title
Techniques for parameter reconstruction in Fourier-neural recurrent networks
Author
Koplon, Renée ; Sontag, Eduardo
Author_Institution
Dept. of Math. & Stat., Wright State Univ., Dayton, OH, USA
Volume
1
fYear
1994
Firstpage
213
Abstract
We present a parameter reconstruction procedure for discrete-time “recurrent neural networks” based on a complex exponential activation function
Keywords
Fourier analysis; parameter estimation; recurrent neural nets; transfer functions; Fourier-neural recurrent networks; complex exponential activation function; discrete-time recurrent neural networks; parameter reconstruction; Adaptive control; Artificial neural networks; Ear; Intelligent networks; Mathematics; Neural networks; Nonlinear systems; Parametric statistics; Recurrent neural networks; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location
Lake Buena Vista, FL
Print_ISBN
0-7803-1968-0
Type
conf
DOI
10.1109/CDC.1994.411018
Filename
411018
Link To Document